Load packages and data

Load packages

rm(list = ls())

pacman::p_load(tidyverse, here, kableExtra, magrittr, patchwork, metafor, metagear,
    ape, rotl, orchaRd, clubSandwich, MuMIn, ggsankey)

Load Data

data <- read_csv(here("data", "fish_conspecific_behaviour_ma_data.csv"), skip = 0)

# Format ID variables as characters
data <- mutate_at(data, vars(study_id, exp_id, exp2_id, assay_id, assay2_id), as.character)
# Table of the dataset
kable(data, "html") %>%
    kable_styling("bordered", position = "left") %>%
    scroll_box(width = "250%", height = "800px")
comment_checker comment_extractor initials_checker initials_extractor title doi url journal study_id exp_id exp2_id assay_id assay2_id species_english species_latin source source2 sex pesticide pesticide_grade cas_id cas_id_comment pesticide_chemical_class dosage dosage_unit duration duration_unit control_solvent solvent2 temperature temperature_unit behaviour_measured behaviour_measured_standardised behaviour_assay behavioural_assay_standardised behavioural_assay_standardised2 effect_direction data_source data_file control_effective_n control_shoal_n control_fish_n control_n control_mean control_sd control_shoal_sd control_fish_sd control_se statistics_comment_control sample_size_comment_control treatment_effective_n treatment_shoal_n treatment_fish_n treatment_n treatment_mean treatment_sd treatment_shoal_sd treatment_fish_sd treatment_se statistics_comment_treatment sample_size_comment_treatment contact_author contacted_date contact_response contact_comments
NA NA NA KM From dysbiosis to neuropathologies: Toxic effects of glyphosate in zebrafish 10.1016/j.ecoenv.2023.115888 https://www.sciencedirect.com/science/article/pii/S0147651323013921 Ecotoxicology and Environmental Safety bellot_2024 bellot_2024_exp_001 bellot_2024_exp2_001 bellot_2024_exp_001_assay_001 bellot_2024_exp2_001_assay2_002 zebrafish Danio rerio commercial supplier not_wild mixed glyphosate analytical 1071<96>83-6 in paper organophosphate 0.3 ug/L 2 weeks not reported NA 28.5 celsius social interaction sociality time spent in conspecific zone time spent in social zone zone NA fig4 bellot_2024_fig4 NA NA NA 15 61.0344828 19.7736111 NA NA 5.105524437 calculated from scatter plot counted from the scatter plot NA NA NA 16 45.6896552 11.2390246 NA NA 2.809756146 calculated from scatter plot counted from the scatter plot NA NA NA NA
NA NA NA KM From dysbiosis to neuropathologies: Toxic effects of glyphosate in zebrafish 10.1016/j.ecoenv.2023.115888 https://www.sciencedirect.com/science/article/pii/S0147651323013921 Ecotoxicology and Environmental Safety bellot_2024 bellot_2024_exp_002 bellot_2024_exp2_002 bellot_2024_exp_002_assay_001 bellot_2024_exp2_002_assay2_002 zebrafish Danio rerio commercial supplier not_wild mixed glyphosate analytical 1071<96>83-6 in paper organophosphate 3 ug/L 2 weeks not reported NA 28.5 celsius social interaction sociality time spent in conspecific zone time spent in social zone zone NA fig4 bellot_2024_fig4 NA NA NA 15 61.0344828 19.7736111 NA NA 5.105524437 calculated from scatter plot counted from the scatter plot NA NA NA 16 45.2945402 15.0522332 NA NA 3.763058307 calculated from scatter plot counted from the scatter plot NA NA NA NA
NA NA SN KM Diuron metabolites act as endocrine disruptors and alter aggressive behavior in Nile tilapia (Oreochromis niloticus) 10.1016/j.chemosphere.2017.10.009 https://www.sciencedirect.com/science/article/pii/S0045653517315801?via%3Dihub Chemosphere boscolo_2018 boscolo_2018_exp_001 boscolo_2018_exp2_001 boscolo_2018_exp_001_assay_001 boscolo_2018_exp2_001_assay2_001 Nile tilapia Oreochromis niloticus laboratory stock from not specified source not_wild male diuron not reported 330-54-1 https://commonchemistry.cas.org/detail?cas_rn=330-54-1&search=diuron urea 100 ng/L 10 days acetone solvent_used 27 celsius aggression aggression total frequency of aggressive interactions frequency of aggressive behaviour count NA fig2 boscolo_2019_fig2 NA NA NA 12 41.8874519 35.5260736 NA NA 10.25549408 study reports mean and se exact sample size provided NA NA NA 12 44.3101781 35.3497491 NA NA 10.20459358 study reports mean and se exact sample size provided NA NA NA NA
NA NA SN KM Diuron metabolites act as endocrine disruptors and alter aggressive behavior in Nile tilapia (Oreochromis niloticus) 10.1016/j.chemosphere.2017.10.009 https://www.sciencedirect.com/science/article/pii/S0045653517315801?via%3Dihub Chemosphere boscolo_2018 boscolo_2018_exp_002 boscolo_2018_exp2_002 boscolo_2018_exp_002_assay_001 boscolo_2018_exp2_002_assay2_001 Nile tilapia Oreochromis niloticus laboratory stock from not specified source not_wild male DCPMU not reported 3567-62-2 https://commonchemistry.cas.org/detail?cas_rn=3567-62-2&search=DCPMU urea 100 ng/L 10 days acetone solvent_used 27 celsius aggression aggression total frequency of aggressive interactions frequency of aggressive behaviour count NA fig2 boscolo_2019_fig2 NA NA NA 12 41.8874519 35.5260736 NA NA 10.25549408 study reports mean and se exact sample size provided NA NA NA 12 20.7776130 13.7057934 NA NA 3.956521739 study reports mean and se exact sample size provided NA NA NA NA
NA NA SN KM Diuron metabolites act as endocrine disruptors and alter aggressive behavior in Nile tilapia (Oreochromis niloticus) 10.1016/j.chemosphere.2017.10.009 https://www.sciencedirect.com/science/article/pii/S0045653517315801?via%3Dihub Chemosphere boscolo_2018 boscolo_2018_exp_003 boscolo_2018_exp2_003 boscolo_2018_exp_003_assay_001 boscolo_2018_exp2_003_assay2_001 Nile tilapia Oreochromis niloticus laboratory stock from not specified source not_wild male DCA not reported NA NA urea 100 ng/L 10 days acetone solvent_used 27 celsius aggression aggression total frequency of aggressive interactions frequency of aggressive behaviour count NA fig2 boscolo_2019_fig2 NA NA NA 12 41.8874519 35.5260736 NA NA 10.25549408 study reports mean and se exact sample size provided NA NA NA 12 13.5725886 8.9533703 NA NA 2.584615385 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Glyphosate and Roundup<ae><a0>alter morphology and behavior in zebrafish 10.1016/j.tox.2017.10.007 https://www.sciencedirect.com/science/article/pii/S0300483X17303128?via%3Dihub Toxicology bridi_2017 bridi_2017_exp_001 bridi_2017_exp2_001 bridi_2017_exp_001_assay_001 bridi_2017_exp2_001_assay2_001 zebrafish Danio rerio commercial supplier not_wild mixed glyphosate not reported 1071-83-6 https://commonchemistry.cas.org/detail?cas_rn=1071-83-6&search=GLYPHOSATE organophosphate 0.01 mg/L 96 hours none none 26 celsius aggression aggression time spent close to stimulus time spent in aggression zone zone NA fig6a bridi_2017_fig6a NA NA NA 26 122.2071971 28.8770683 NA NA 5.663259022 study reports mean and se exact sample size provided NA NA NA 26 91.1310966 29.3484305 NA NA 5.755700754 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Glyphosate and Roundup<ae><a0>alter morphology and behavior in zebrafish 10.1016/j.tox.2017.10.007 https://www.sciencedirect.com/science/article/pii/S0300483X17303128?via%3Dihub Toxicology bridi_2017 bridi_2017_exp_002 bridi_2017_exp2_002 bridi_2017_exp_002_assay_001 bridi_2017_exp2_002_assay2_001 zebrafish Danio rerio commercial supplier not_wild mixed glyphosate not reported 1071-83-6 https://commonchemistry.cas.org/detail?cas_rn=1071-83-6&search=GLYPHOSATE organophosphate 0.065 mg/L 96 hours none none 26 celsius aggression aggression time spent close to stimulus time spent in aggression zone zone NA fig6a bridi_2017_fig6a NA NA NA 26 122.2071971 28.8770683 NA NA 5.663259022 study reports mean and se exact sample size provided NA NA NA 26 93.3694247 35.0550697 NA NA 6.874864789 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Glyphosate and Roundup<ae><a0>alter morphology and behavior in zebrafish 10.1016/j.tox.2017.10.007 https://www.sciencedirect.com/science/article/pii/S0300483X17303128?via%3Dihub Toxicology bridi_2017 bridi_2017_exp_003 bridi_2017_exp2_003 bridi_2017_exp_003_assay_001 bridi_2017_exp2_003_assay2_001 zebrafish Danio rerio commercial supplier not_wild mixed glyphosate not reported 1071-83-6 https://commonchemistry.cas.org/detail?cas_rn=1071-83-6&search=GLYPHOSATE organophosphate 0.5 mg/L 96 hours none none 26 celsius aggression aggression time spent close to stimulus time spent in aggression zone zone NA fig6a bridi_2017_fig6a NA NA NA 26 122.2071971 28.8770683 NA NA 5.663259022 study reports mean and se exact sample size provided NA NA NA 26 93.5293053 39.9464748 NA NA 7.834148248 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Glyphosate and Roundup<ae><a0>alter morphology and behavior in zebrafish 10.1016/j.tox.2017.10.007 https://www.sciencedirect.com/science/article/pii/S0300483X17303128?via%3Dihub Toxicology bridi_2017 bridi_2017_exp_004 bridi_2017_exp2_004 bridi_2017_exp_004_assay_001 bridi_2017_exp2_004_assay2_001 zebrafish Danio rerio commercial supplier not_wild mixed roundup commercial 38641-94-0 https://commonchemistry.cas.org/detail?cas_rn=38641-94-0&search=ROUNDUP organophosphate 0.01 mg/L 96 hours none none 26 celsius aggression aggression time spent close to stimulus time spent in aggression zone zone NA fig6a bridi_2017_fig6a NA NA NA 26 122.2071971 28.8770683 NA NA 5.663259022 study reports mean and se exact sample size provided NA NA NA 26 85.8550376 17.9351520 NA NA 3.517372683 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Glyphosate and Roundup<ae><a0>alter morphology and behavior in zebrafish 10.1016/j.tox.2017.10.007 https://www.sciencedirect.com/science/article/pii/S0300483X17303128?via%3Dihub Toxicology bridi_2017 bridi_2017_exp_005 bridi_2017_exp2_005 bridi_2017_exp_005_assay_001 bridi_2017_exp2_005_assay2_001 zebrafish Danio rerio commercial supplier not_wild mixed roundup commercial 38641-94-0 https://commonchemistry.cas.org/detail?cas_rn=38641-94-0&search=ROUNDUP organophosphate 0.065 mg/L 96 hours none none 26 celsius aggression aggression time spent close to stimulus time spent in aggression zone zone NA fig6a bridi_2017_fig6a NA NA NA 26 122.2071971 28.8770683 NA NA 5.663259022 study reports mean and se exact sample size provided NA NA NA 26 86.3346793 37.5007722 NA NA 7.354506518 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Glyphosate and Roundup<ae><a0>alter morphology and behavior in zebrafish 10.1016/j.tox.2017.10.007 https://www.sciencedirect.com/science/article/pii/S0300483X17303128?via%3Dihub Toxicology bridi_2017 bridi_2017_exp_006 bridi_2017_exp2_006 bridi_2017_exp_006_assay_001 bridi_2017_exp2_006_assay2_001 zebrafish Danio rerio commercial supplier not_wild mixed roundup commercial 38641-94-0 https://commonchemistry.cas.org/detail?cas_rn=38641-94-0&search=ROUNDUP organophosphate 0.5 mg/L 96 hours none none 26 celsius aggression aggression time spent close to stimulus time spent in aggression zone zone NA fig6a bridi_2017_fig6a NA NA NA 26 122.2071971 28.8770683 NA NA 5.663259022 study reports mean and se exact sample size provided NA NA NA 26 94.6484693 16.3046836 NA NA 3.19761153 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Glyphosate and Roundup<ae><a0>alter morphology and behavior in zebrafish 10.1016/j.tox.2017.10.007 https://www.sciencedirect.com/science/article/pii/S0300483X17303128?via%3Dihub Toxicology bridi_2017 bridi_2017_exp_001 bridi_2017_exp2_001 bridi_2017_exp_001_assay_002 bridi_2017_exp2_001_assay2_002 zebrafish Danio rerio commercial supplier not_wild mixed glyphosate not reported 1071-83-6 https://commonchemistry.cas.org/detail?cas_rn=1071-83-6&search=GLYPHOSATE organophosphate 0.01 mg/L 96 hours none none 26 celsius aggression aggression number of enteries frequency of entries into aggression zone entry NA fig6b bridi_2017_fig6b NA NA NA 26 39.4858436 18.8042738 NA NA 3.687821494 study reports mean and se exact sample size provided NA NA NA 26 27.7557133 10.6687460 NA NA 2.092313231 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Glyphosate and Roundup<ae><a0>alter morphology and behavior in zebrafish 10.1016/j.tox.2017.10.007 https://www.sciencedirect.com/science/article/pii/S0300483X17303128?via%3Dihub Toxicology bridi_2017 bridi_2017_exp_002 bridi_2017_exp2_002 bridi_2017_exp_002_assay_002 bridi_2017_exp2_002_assay2_002 zebrafish Danio rerio commercial supplier not_wild mixed glyphosate not reported 1071-83-6 https://commonchemistry.cas.org/detail?cas_rn=1071-83-6&search=GLYPHOSATE organophosphate 0.065 mg/L 96 hours none none 26 celsius aggression aggression number of enteries frequency of entries into aggression zone entry NA fig6b bridi_2017_fig6b NA NA NA 26 39.4858436 18.8042738 NA NA 3.687821494 study reports mean and se exact sample size provided NA NA NA 26 24.8235417 12.7349286 NA NA 2.497524975 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Glyphosate and Roundup<ae><a0>alter morphology and behavior in zebrafish 10.1016/j.tox.2017.10.007 https://www.sciencedirect.com/science/article/pii/S0300483X17303128?via%3Dihub Toxicology bridi_2017 bridi_2017_exp_003 bridi_2017_exp2_003 bridi_2017_exp_003_assay_002 bridi_2017_exp2_003_assay2_002 zebrafish Danio rerio commercial supplier not_wild mixed glyphosate not reported 1071-83-6 https://commonchemistry.cas.org/detail?cas_rn=1071-83-6&search=GLYPHOSATE organophosphate 0.5 mg/L 96 hours none none 26 celsius aggression aggression number of enteries frequency of entries into aggression zone entry NA fig6b bridi_2017_fig6b NA NA NA 26 39.4858436 18.8042738 NA NA 3.687821494 study reports mean and se exact sample size provided NA NA NA 26 21.9990956 6.1678357 NA NA 1.209612096 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Glyphosate and Roundup<ae><a0>alter morphology and behavior in zebrafish 10.1016/j.tox.2017.10.007 https://www.sciencedirect.com/science/article/pii/S0300483X17303128?via%3Dihub Toxicology bridi_2017 bridi_2017_exp_004 bridi_2017_exp2_004 bridi_2017_exp_004_assay_002 bridi_2017_exp2_004_assay2_002 zebrafish Danio rerio commercial supplier not_wild mixed roundup commercial 38641-94-0 https://commonchemistry.cas.org/detail?cas_rn=38641-94-0&search=ROUNDUP organophosphate 0.01 mg/L 96 hours none none 26 celsius aggression aggression number of enteries frequency of entries into aggression zone entry NA fig6b bridi_2017_fig6b NA NA NA 26 39.4858436 18.8042738 NA NA 3.687821494 study reports mean and se exact sample size provided NA NA NA 26 24.8335687 9.4773286 NA NA 1.858657048 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Glyphosate and Roundup<ae><a0>alter morphology and behavior in zebrafish 10.1016/j.tox.2017.10.007 https://www.sciencedirect.com/science/article/pii/S0300483X17303128?via%3Dihub Toxicology bridi_2017 bridi_2017_exp_005 bridi_2017_exp2_005 bridi_2017_exp_005_assay_002 bridi_2017_exp2_005_assay2_002 zebrafish Danio rerio commercial supplier not_wild mixed roundup commercial 38641-94-0 https://commonchemistry.cas.org/detail?cas_rn=38641-94-0&search=ROUNDUP organophosphate 0.065 mg/L 96 hours none none 26 celsius aggression aggression number of enteries frequency of entries into aggression zone entry NA fig6b bridi_2017_fig6b NA NA NA 26 39.4858436 18.8042738 NA NA 3.687821494 study reports mean and se exact sample size provided NA NA NA 26 23.4381956 6.6910003 NA NA 1.312213122 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Glyphosate and Roundup<ae><a0>alter morphology and behavior in zebrafish 10.1016/j.tox.2017.10.007 https://www.sciencedirect.com/science/article/pii/S0300483X17303128?via%3Dihub Toxicology bridi_2017 bridi_2017_exp_006 bridi_2017_exp2_006 bridi_2017_exp_006_assay_002 bridi_2017_exp2_006_assay2_002 zebrafish Danio rerio commercial supplier not_wild mixed roundup commercial 38641-94-0 https://commonchemistry.cas.org/detail?cas_rn=38641-94-0&search=ROUNDUP organophosphate 0.5 mg/L 96 hours none none 26 celsius aggression aggression number of enteries frequency of entries into aggression zone entry NA fig6b bridi_2017_fig6b NA NA NA 26 39.4858436 18.8042738 NA NA 3.687821494 study reports mean and se exact sample size provided NA NA NA 26 24.7084876 5.8935449 NA NA 1.155819251 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Exposure to difenoconazole induces reproductive toxicity in zebrafish by interfering with gamete maturation and reproductive behavior 10.1016/j.scitotenv.2022.155610 https://www.sciencedirect.com/science/article/pii/S0048969722027061?via%3Dihub Science of The Total Environment chen_2022 chen_2022_exp_001 chen_2022_exp2_001 chen_2022_exp_001_assay_001 chen_2022_exp2_001_assay2_001 zebrafish Danio rerio not reported NA mixed difenoconazole analytical 119446-68-3 in paper dioxolanes 0.1 ug/L 120 days acetone solvent_used not reported not reported reproductive behaviour courtship contact time time spent near potential mate NA NA fig4a chen_2022_fig4a NA NA NA 8 180.9746781 23.4351145 NA NA 8.285564192 study reports mean and sd states four male and four female per tank (section 2.6. Analysis of reproductive behaviour) NA NA NA 8 126.7255128 19.8473282 NA NA 7.017090195 study reports mean and sd states four male and four female per tank (section 2.6. Analysis of reproductive behaviour) NA NA NA NA
NA NA NA KM Exposure to difenoconazole induces reproductive toxicity in zebrafish by interfering with gamete maturation and reproductive behavior 10.1016/j.scitotenv.2022.155610 https://www.sciencedirect.com/science/article/pii/S0048969722027061?via%3Dihub Science of The Total Environment chen_2022 chen_2022_exp_002 chen_2022_exp2_002 chen_2022_exp_002_assay_001 chen_2022_exp2_002_assay2_001 zebrafish Danio rerio not reported NA mixed difenoconazole analytical 119446-68-3 in paper dioxolanes 1 ug/L 120 days acetone solvent_used not reported not reported reproductive behaviour courtship contact time time spent near potential mate NA NA fig4a chen_2022_fig4a NA NA NA 8 180.9746781 23.4351145 NA NA 8.285564192 study reports mean and sd states four male and four female per tank (section 2.6. Analysis of reproductive behaviour) NA NA NA 8 189.5675534 61.7124682 NA NA 21.81865237 study reports mean and sd states four male and four female per tank (section 2.6. Analysis of reproductive behaviour) NA NA NA NA
NA NA NA KM Exposure to difenoconazole induces reproductive toxicity in zebrafish by interfering with gamete maturation and reproductive behavior 10.1016/j.scitotenv.2022.155610 https://www.sciencedirect.com/science/article/pii/S0048969722027061?via%3Dihub Science of The Total Environment chen_2022 chen_2022_exp_003 chen_2022_exp2_003 chen_2022_exp_003_assay_001 chen_2022_exp2_003_assay2_001 zebrafish Danio rerio not reported NA mixed difenoconazole analytical 119446-68-3 in paper dioxolanes 10 ug/L 120 days acetone solvent_used not reported not reported reproductive behaviour courtship contact time time spent near potential mate NA NA fig4a chen_2022_fig4a NA NA NA 8 180.9746781 23.4351145 NA NA 8.285564192 study reports mean and sd states four male and four female per tank (section 2.6. Analysis of reproductive behaviour) NA NA NA 8 68.4861285 27.3409669 NA NA 9.666491557 study reports mean and sd states four male and four female per tank (section 2.6. Analysis of reproductive behaviour) NA NA NA NA
NA NA NA KM Exposure to difenoconazole induces reproductive toxicity in zebrafish by interfering with gamete maturation and reproductive behavior 10.1016/j.scitotenv.2022.155610 https://www.sciencedirect.com/science/article/pii/S0048969722027061?via%3Dihub Science of The Total Environment chen_2022 chen_2022_exp_001 chen_2022_exp2_001 chen_2022_exp_001_assay_002 chen_2022_exp2_001_assay2_002 zebrafish Danio rerio not reported NA mixed difenoconazole analytical 119446-68-3 in paper dioxolanes 0.1 ug/L 120 days acetone solvent_used not reported not reported reproductive behaviour courtship contact time time spent near potential mate NA NA fig4b chen_2022_fig4b NA NA NA 8 199.3015298 29.6565579 NA NA 10.4851766 study reports mean and sd states four male and four female per tank (section 2.6. Analysis of reproductive behaviour) NA NA NA 8 195.5944600 41.4517798 NA NA 14.6554173 study reports mean and sd states four male and four female per tank (section 2.6. Analysis of reproductive behaviour) NA NA NA NA
NA NA NA KM Exposure to difenoconazole induces reproductive toxicity in zebrafish by interfering with gamete maturation and reproductive behavior 10.1016/j.scitotenv.2022.155610 https://www.sciencedirect.com/science/article/pii/S0048969722027061?via%3Dihub Science of The Total Environment chen_2022 chen_2022_exp_002 chen_2022_exp2_002 chen_2022_exp_002_assay_002 chen_2022_exp2_002_assay2_002 zebrafish Danio rerio not reported NA mixed difenoconazole analytical 119446-68-3 in paper dioxolanes 1 ug/L 120 days acetone solvent_used not reported not reported reproductive behaviour courtship contact time time spent near potential mate NA NA fig4b chen_2022_fig4b NA NA NA 8 199.3015298 29.6565579 NA NA 10.4851766 study reports mean and sd states four male and four female per tank (section 2.6. Analysis of reproductive behaviour) NA NA NA 8 194.2464347 23.2534374 NA NA 8.221331654 study reports mean and sd states four male and four female per tank (section 2.6. Analysis of reproductive behaviour) NA NA NA NA
NA NA NA KM Exposure to difenoconazole induces reproductive toxicity in zebrafish by interfering with gamete maturation and reproductive behavior 10.1016/j.scitotenv.2022.155610 https://www.sciencedirect.com/science/article/pii/S0048969722027061?via%3Dihub Science of The Total Environment chen_2022 chen_2022_exp_003 chen_2022_exp2_003 chen_2022_exp_003_assay_002 chen_2022_exp2_003_assay2_002 zebrafish Danio rerio not reported NA mixed difenoconazole analytical 119446-68-3 in paper dioxolanes 10 ug/L 120 days acetone solvent_used not reported not reported reproductive behaviour courtship contact time time spent near potential mate NA NA fig4b chen_2022_fig4b NA NA NA 8 199.3015298 29.6565579 NA NA 10.4851766 study reports mean and sd states four male and four female per tank (section 2.6. Analysis of reproductive behaviour) NA NA NA 8 222.5549672 34.3746467 NA NA 12.15327288 study reports mean and sd states four male and four female per tank (section 2.6. Analysis of reproductive behaviour) NA NA NA NA
NA NA NA KM Exposure to difenoconazole induces reproductive toxicity in zebrafish by interfering with gamete maturation and reproductive behavior 10.1016/j.scitotenv.2022.155610 https://www.sciencedirect.com/science/article/pii/S0048969722027061?via%3Dihub Science of The Total Environment chen_2022 chen_2022_exp_001 chen_2022_exp2_001 chen_2022_exp_001_assay_003 chen_2022_exp2_001_assay2_003 zebrafish Danio rerio not reported NA mixed difenoconazole analytical 119446-68-3 in paper dioxolanes 0.1 ug/L 120 days acetone solvent_used not reported not reported reproductive behaviour courtship contact time time spent near potential mate NA NA fig4c chen_2022_fig4c NA NA NA 8 145.9508599 5.3249169 NA NA 1.882642423 study reports mean and sd states four male and four female per tank (section 2.6. Analysis of reproductive behaviour) NA NA NA 8 122.1935383 25.8053665 NA NA 9.123574818 study reports mean and sd states four male and four female per tank (section 2.6. Analysis of reproductive behaviour) NA NA NA NA
NA NA NA KM Exposure to difenoconazole induces reproductive toxicity in zebrafish by interfering with gamete maturation and reproductive behavior 10.1016/j.scitotenv.2022.155610 https://www.sciencedirect.com/science/article/pii/S0048969722027061?via%3Dihub Science of The Total Environment chen_2022 chen_2022_exp_002 chen_2022_exp2_002 chen_2022_exp_002_assay_003 chen_2022_exp2_002_assay2_003 zebrafish Danio rerio not reported NA mixed difenoconazole analytical 119446-68-3 in paper dioxolanes 1 ug/L 120 days acetone solvent_used not reported not reported reproductive behaviour courtship contact time time spent near potential mate NA NA fig4c chen_2022_fig4c NA NA NA 8 145.9508599 5.3249169 NA NA 1.882642423 study reports mean and sd states four male and four female per tank (section 2.6. Analysis of reproductive behaviour) NA NA NA 8 137.5538755 11.6738563 NA NA 4.127331465 study reports mean and sd states four male and four female per tank (section 2.6. Analysis of reproductive behaviour) NA NA NA NA
NA NA NA KM Exposure to difenoconazole induces reproductive toxicity in zebrafish by interfering with gamete maturation and reproductive behavior 10.1016/j.scitotenv.2022.155610 https://www.sciencedirect.com/science/article/pii/S0048969722027061?via%3Dihub Science of The Total Environment chen_2022 chen_2022_exp_003 chen_2022_exp2_003 chen_2022_exp_003_assay_003 chen_2022_exp2_003_assay2_003 zebrafish Danio rerio not reported NA mixed difenoconazole analytical 119446-68-3 in paper dioxolanes 10 ug/L 120 days acetone solvent_used not reported not reported reproductive behaviour courtship contact time time spent near potential mate NA NA fig4c chen_2022_fig4c NA NA NA 8 145.9508599 5.3249169 NA NA 1.882642423 study reports mean and sd states four male and four female per tank (section 2.6. Analysis of reproductive behaviour) NA NA NA 8 108.0620281 4.7105034 NA NA 1.665414451 study reports mean and sd states four male and four female per tank (section 2.6. Analysis of reproductive behaviour) NA NA NA NA
NA NA NA KM Neonicotinoid Imidacloprid Affects the Social Behavior of Adult Zebrafish by Damaging Telencephalon Neurons through Oxidation Stress, Inflammation, and Apoptosis 10.3390/life13061418<a0> https://www.mdpi.com/2075-1729/13/6/1418#:~:text=Our%20behavioral%20and%20histological%20experiments,zebrafish%20through%20oxidative%20stress%2C%20inflammation Life chung_2023 chung_2023_exp_001 chung_2023_exp2_001 chung_2023_exp_001_assay_001 chung_2023_exp2_001_assay2_001 zebrafish Danio rerio laboratory stock from not specified source not_wild mixed imidacloprid analytical 138261-41-3 in paper neonicotinoid 0.1 ppm 5 days none none 25 celsius heterosexual attraction courtship distance between male and female distance between potential mates NA change fig5c chung_2023_fig5c NA NA NA 10 4.4371410 1.8613055 NA NA 0.588596491 study reports mean and se exact sample size provided NA NA NA 10 10.2614352 4.7267729 NA NA 1.494736842 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Neonicotinoid Imidacloprid Affects the Social Behavior of Adult Zebrafish by Damaging Telencephalon Neurons through Oxidation Stress, Inflammation, and Apoptosis 10.3390/life13061418<a0> https://www.mdpi.com/2075-1729/13/6/1418#:~:text=Our%20behavioral%20and%20histological%20experiments,zebrafish%20through%20oxidative%20stress%2C%20inflammation Life chung_2023 chung_2023_exp_002 chung_2023_exp2_002 chung_2023_exp_002_assay_001 chung_2023_exp2_002_assay2_001 zebrafish Danio rerio laboratory stock from not specified source not_wild mixed imidacloprid analytical 138261-41-3 in paper neonicotinoid 0.5 ppm 5 days none none 25 celsius heterosexual attraction courtship distance between male and female distance between potential mates NA change fig5c chung_2023_fig5c NA NA NA 10 4.4371410 1.8613055 NA NA 0.588596491 study reports mean and se exact sample size provided NA NA NA 10 11.4526297 4.9691449 NA NA 1.571381579 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Neonicotinoid Imidacloprid Affects the Social Behavior of Adult Zebrafish by Damaging Telencephalon Neurons through Oxidation Stress, Inflammation, and Apoptosis 10.3390/life13061418<a0> https://www.mdpi.com/2075-1729/13/6/1418#:~:text=Our%20behavioral%20and%20histological%20experiments,zebrafish%20through%20oxidative%20stress%2C%20inflammation Life chung_2023 chung_2023_exp_003 chung_2023_exp2_003 chung_2023_exp_003_assay_001 chung_2023_exp2_003_assay2_001 zebrafish Danio rerio laboratory stock from not specified source not_wild mixed imidacloprid analytical 138261-41-3 in paper neonicotinoid 1 ppm 5 days none none 25 celsius heterosexual attraction courtship distance between male and female distance between potential mates NA change fig5c chung_2023_fig5c NA NA NA 10 4.4371410 1.8613055 NA NA 0.588596491 study reports mean and se exact sample size provided NA NA NA 10 14.6312253 4.9212946 NA NA 1.55625 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Neonicotinoid Imidacloprid Affects the Social Behavior of Adult Zebrafish by Damaging Telencephalon Neurons through Oxidation Stress, Inflammation, and Apoptosis 10.3390/life13061418<a0> https://www.mdpi.com/2075-1729/13/6/1418#:~:text=Our%20behavioral%20and%20histological%20experiments,zebrafish%20through%20oxidative%20stress%2C%20inflammation Life chung_2023 chung_2023_exp_001 chung_2023_exp2_004 chung_2023_exp_001_assay_002 chung_2023_exp2_004_assay2_001 zebrafish Danio rerio laboratory stock from not specified source not_wild male imidacloprid analytical 138261-41-3 in paper neonicotinoid 0.1 ppm 5 days none none 25 celsius defensive alert behaviour aggression male confrontation distance confrontation distance NA change fig6c chung_2023_fig6c NA NA NA 10 16.5992051 4.9695724 NA NA 1.571516773 study reports mean and se exact sample size provided NA NA NA 10 13.4650111 4.9152299 NA NA 1.554332167 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Neonicotinoid Imidacloprid Affects the Social Behavior of Adult Zebrafish by Damaging Telencephalon Neurons through Oxidation Stress, Inflammation, and Apoptosis 10.3390/life13061418<a0> https://www.mdpi.com/2075-1729/13/6/1418#:~:text=Our%20behavioral%20and%20histological%20experiments,zebrafish%20through%20oxidative%20stress%2C%20inflammation Life chung_2023 chung_2023_exp_002 chung_2023_exp2_005 chung_2023_exp_002_assay_002 chung_2023_exp2_005_assay2_001 zebrafish Danio rerio laboratory stock from not specified source not_wild male imidacloprid analytical 138261-41-3 in paper neonicotinoid 0.5 ppm 5 days none none 25 celsius defensive alert behaviour aggression male confrontation distance confrontation distance NA change fig6c chung_2023_fig6c NA NA NA 10 16.5992051 4.9695724 NA NA 1.571516773 study reports mean and se exact sample size provided NA NA NA 10 12.3161622 4.6034927 NA NA 1.455752212 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Neonicotinoid Imidacloprid Affects the Social Behavior of Adult Zebrafish by Damaging Telencephalon Neurons through Oxidation Stress, Inflammation, and Apoptosis 10.3390/life13061418<a0> https://www.mdpi.com/2075-1729/13/6/1418#:~:text=Our%20behavioral%20and%20histological%20experiments,zebrafish%20through%20oxidative%20stress%2C%20inflammation Life chung_2023 chung_2023_exp_003 chung_2023_exp2_006 chung_2023_exp_003_assay_002 chung_2023_exp2_006_assay2_001 zebrafish Danio rerio laboratory stock from not specified source not_wild male imidacloprid analytical 138261-41-3 in paper neonicotinoid 1 ppm 5 days none none 25 celsius defensive alert behaviour aggression male confrontation distance confrontation distance NA change fig6c chung_2023_fig6c NA NA NA 10 16.5992051 4.9695724 NA NA 1.571516773 study reports mean and se exact sample size provided NA NA NA 10 12.3789323 4.8273708 NA NA 1.526548673 study reports mean and se exact sample size provided NA NA NA NA
used species median of shoal NA NA KM Glyphosate targets fish monoaminergic systems leading to oxidative stress and anxiety 10.1016/j.envint.2020.106253 https://www.sciencedirect.com/science/article/pii/S0278584618306961?via%3Dihub Progress in Neuro-Psychopharmacology and Biological Psychiatry faria_2021 faria_2021_exp_001 faria_2021_exp2_001 faria_2021_exp_001_assay_001 faria_2021_exp_001_assay2_001 zebrafish Danio rerio laboratory stock from not specified source not_wild mixed glyphosate analytical 1071-83-6 in paper organophosphate 0.3 ug/L 2 weeks not reported NA 28 celsius shoaling collective behaviour average interfish distance group arrangment NA change fig1ca faria_2021_fig1ca 9.500000 6.333333 19 19 6.3473684 1.9851920 1.1461511 1.9851920 0.455434271 calculated from scatter plot counted from the scatter plot 10.500000 7.000000 21 21 4.5980952 1.7724774 1.0233403 1.7724774 0.386786282 calculated from scatter plot counted from the scatter plot NA NA NA NA
used species median of shoal NA NA KM Glyphosate targets fish monoaminergic systems leading to oxidative stress and anxiety 10.1016/j.envint.2020.106253 https://www.sciencedirect.com/science/article/pii/S0278584618306961?via%3Dihub Progress in Neuro-Psychopharmacology and Biological Psychiatry faria_2021 faria_2021_exp_002 faria_2021_exp2_002 faria_2021_exp_002_assay_001 faria_2021_exp_002_assay2_001 zebrafish Danio rerio laboratory stock from not specified source not_wild mixed glyphosate analytical 1071-83-6 in paper organophosphate 3 ug/L 2 weeks not reported NA 28 celsius shoaling collective behaviour average interfish distance group arrangment NA change fig1ca faria_2021_fig1ca 9.500000 6.333333 19 19 6.3473684 1.9851920 1.1461511 1.9851920 0.455434271 calculated from scatter plot counted from the scatter plot 9.500000 6.333333 19 19 4.1852632 1.1541007 0.6663204 1.1541007 0.26476887 calculated from scatter plot counted from the scatter plot NA NA NA NA
used species median of shoal NA NA KM Glyphosate targets fish monoaminergic systems leading to oxidative stress and anxiety 10.1016/j.envint.2020.106253 https://www.sciencedirect.com/science/article/pii/S0278584618306961?via%3Dihub Progress in Neuro-Psychopharmacology and Biological Psychiatry faria_2021 faria_2021_exp_001 faria_2021_exp2_001 faria_2021_exp_001_assay_002 faria_2021_exp_001_assay2_002 zebrafish Danio rerio laboratory stock from not specified source not_wild mixed glyphosate analytical 1071-83-6 in paper organophosphate 0.3 ug/L 2 weeks not reported NA 28 celsius shoaling collective behaviour farthest distance group arrangment NA change fig1cb faria_2021_fig1cb 10.000000 6.666667 20 20 8.9156627 3.0988088 1.7890981 3.0988088 0.69291471 calculated from scatter plot counted from the scatter plot 10.000000 6.666667 20 20 7.5108434 2.4946464 1.4402848 2.4946464 0.557819889 calculated from scatter plot counted from the scatter plot NA NA NA NA
used species median of shoal NA NA KM Glyphosate targets fish monoaminergic systems leading to oxidative stress and anxiety 10.1016/j.envint.2020.106253 https://www.sciencedirect.com/science/article/pii/S0278584618306961?via%3Dihub Progress in Neuro-Psychopharmacology and Biological Psychiatry faria_2021 faria_2021_exp_002 faria_2021_exp2_002 faria_2021_exp_002_assay_002 faria_2021_exp_002_assay2_002 zebrafish Danio rerio laboratory stock from not specified source not_wild mixed glyphosate analytical 1071-83-6 in paper organophosphate 3 ug/L 2 weeks not reported NA 28 celsius shoaling collective behaviour farthest distance group arrangment NA change fig1cb faria_2021_fig1cb 10.000000 6.666667 20 20 8.9156627 3.0988088 1.7890981 3.0988088 0.69291471 calculated from scatter plot counted from the scatter plot 9.500000 6.333333 19 19 6.3817375 1.7880691 1.0323422 1.7880691 0.410211192 calculated from scatter plot counted from the scatter plot NA NA NA NA
NA NA SN KM The kisspeptin-GnIH signaling pathway in the role of zebrafish courtship and aggressive behavior induced by azoxystrobin 10.1016/j.envpol.2023.121461 https://www.sciencedirect.com/science/article/pii/S0269749123004633?via%3Dihub Environmental Pollution guo_2023 guo_2023_exp_001 guo_2023_exp2_001 guo_2023_exp_001_assay_001 guo_2023_exp2_001_assay2_001 zebrafish Danio rerio commercial supplier not_wild male azoxystrobin analytical 131860-33-8 in paper B-methoxyacrylates 0.2 ug/L 42 days DMSO solvent_used 27 celsius courting courtship distance in region of attraction distance in attraction zone NA NA fig1a guo_2023_fig1a NA NA NA 18 1373.4542280 409.2070780 NA NA 96.45103324 study reports mean and se states N=3, 18 per treatment - I assume this is 18 for each concentration NA NA NA 18 1270.4882060 381.0371636 NA NA 89.81132075 study reports mean and se states N=3, 18 per treatment - I assume this is 18 for each concentration NA NA NA NA
NA NA SN KM The kisspeptin-GnIH signaling pathway in the role of zebrafish courtship and aggressive behavior induced by azoxystrobin 10.1016/j.envpol.2023.121461 https://www.sciencedirect.com/science/article/pii/S0269749123004633?via%3Dihub Environmental Pollution guo_2023 guo_2023_exp_002 guo_2023_exp2_002 guo_2023_exp_002_assay_001 guo_2023_exp2_002_assay2_001 zebrafish Danio rerio commercial supplier not_wild male azoxystrobin analytical 131860-33-8 in paper B-methoxyacrylates 20 ug/L 42 days DMSO solvent_used 27 celsius courting courtship distance in region of attraction distance in attraction zone NA NA fig1a guo_2023_fig1a NA NA NA 18 1373.4542280 409.2070780 NA NA 96.45103324 study reports mean and se states N=3, 18 per treatment - I assume this is 18 for each concentration NA NA NA 18 1158.6011610 290.3140294 NA NA 68.42767296 study reports mean and se states N=3, 18 per treatment - I assume this is 18 for each concentration NA NA NA NA
NA NA SN KM The kisspeptin-GnIH signaling pathway in the role of zebrafish courtship and aggressive behavior induced by azoxystrobin 10.1016/j.envpol.2023.121461 https://www.sciencedirect.com/science/article/pii/S0269749123004633?via%3Dihub Environmental Pollution guo_2023 guo_2023_exp_003 guo_2023_exp2_003 guo_2023_exp_003_assay_001 guo_2023_exp2_003_assay2_001 zebrafish Danio rerio commercial supplier not_wild male azoxystrobin analytical 131860-33-8 in paper B-methoxyacrylates 200 ug/L 42 days DMSO solvent_used 27 celsius courting courtship distance in region of attraction distance in attraction zone NA NA fig1a guo_2023_fig1a NA NA NA 18 1373.4542280 409.2070780 NA NA 96.45103324 study reports mean and se states N=3, 18 per treatment - I assume this is 18 for each concentration NA NA NA 18 949.9591025 206.1473570 NA NA 48.58939802 study reports mean and se states N=3, 18 per treatment - I assume this is 18 for each concentration NA NA NA NA
NA NA SN KM The kisspeptin-GnIH signaling pathway in the role of zebrafish courtship and aggressive behavior induced by azoxystrobin 10.1016/j.envpol.2023.121461 https://www.sciencedirect.com/science/article/pii/S0269749123004633?via%3Dihub Environmental Pollution guo_2023 guo_2023_exp_001 guo_2023_exp2_001 guo_2023_exp_001_assay_002 guo_2023_exp2_001_assay2_002 zebrafish Danio rerio commercial supplier not_wild male azoxystrobin analytical 131860-33-8 in paper B-methoxyacrylates 0.2 ug/L 42 days DMSO solvent_used 27 celsius courting courtship frequency in region of attraction frequency of entries into attraction zone entry NA fig1b guo_2023_fig1b NA NA NA 18 309.5539912 45.7650012 NA NA 10.78691424 study reports mean and se states N=3, 18 per treatment - I assume this is 18 for each concentration NA NA NA 18 297.0195325 55.0080310 NA NA 12.96551724 study reports mean and se states N=3, 18 per treatment - I assume this is 18 for each concentration NA NA NA NA
NA NA SN KM The kisspeptin-GnIH signaling pathway in the role of zebrafish courtship and aggressive behavior induced by azoxystrobin 10.1016/j.envpol.2023.121461 https://www.sciencedirect.com/science/article/pii/S0269749123004633?via%3Dihub Environmental Pollution guo_2023 guo_2023_exp_002 guo_2023_exp2_002 guo_2023_exp_002_assay_002 guo_2023_exp2_002_assay2_002 zebrafish Danio rerio commercial supplier not_wild male azoxystrobin analytical 131860-33-8 in paper B-methoxyacrylates 20 ug/L 42 days DMSO solvent_used 27 celsius courting courtship frequency in region of attraction frequency of entries into attraction zone entry NA fig1b guo_2023_fig1b NA NA NA 18 309.5539912 45.7650012 NA NA 10.78691424 study reports mean and se states N=3, 18 per treatment - I assume this is 18 for each concentration NA NA NA 18 261.8035239 61.7302344 NA NA 14.54995579 study reports mean and se states N=3, 18 per treatment - I assume this is 18 for each concentration NA NA NA NA
NA NA SN KM The kisspeptin-GnIH signaling pathway in the role of zebrafish courtship and aggressive behavior induced by azoxystrobin 10.1016/j.envpol.2023.121461 https://www.sciencedirect.com/science/article/pii/S0269749123004633?via%3Dihub Environmental Pollution guo_2023 guo_2023_exp_003 guo_2023_exp2_003 guo_2023_exp_003_assay_002 guo_2023_exp2_003_assay2_002 zebrafish Danio rerio commercial supplier not_wild male azoxystrobin analytical 131860-33-8 in paper B-methoxyacrylates 200 ug/L 42 days DMSO solvent_used 27 celsius courting courtship frequency in region of attraction frequency of entries into attraction zone entry NA fig1b guo_2023_fig1b NA NA NA 18 309.5539912 45.7650012 NA NA 10.78691424 study reports mean and se states N=3, 18 per treatment - I assume this is 18 for each concentration NA NA NA 18 229.1189647 28.2242516 NA NA 6.652519894 study reports mean and se states N=3, 18 per treatment - I assume this is 18 for each concentration NA NA NA NA
NA NA SN KM The kisspeptin-GnIH signaling pathway in the role of zebrafish courtship and aggressive behavior induced by azoxystrobin 10.1016/j.envpol.2023.121461 https://www.sciencedirect.com/science/article/pii/S0269749123004633?via%3Dihub Environmental Pollution guo_2023 guo_2023_exp_001 guo_2023_exp2_004 guo_2023_exp_001_assay_003 guo_2023_exp2_004_assay2_001 zebrafish Danio rerio commercial supplier not_wild female azoxystrobin analytical 131860-33-8 in paper B-methoxyacrylates 0.2 ug/L 42 days DMSO solvent_used 27 celsius courting courtship distance in region of attraction distance in attraction zone NA NA fig1c guo_2023_fig1c NA NA NA 18 1884.3730430 237.0771902 NA NA 55.87962963 study reports mean and se states N=3, 18 per treatment - I assume this is 18 for each concentration NA NA NA 18 1847.5386150 344.1253002 NA NA 81.11111111 study reports mean and se states N=3, 18 per treatment - I assume this is 18 for each concentration NA NA NA NA
NA NA SN KM The kisspeptin-GnIH signaling pathway in the role of zebrafish courtship and aggressive behavior induced by azoxystrobin 10.1016/j.envpol.2023.121461 https://www.sciencedirect.com/science/article/pii/S0269749123004633?via%3Dihub Environmental Pollution guo_2023 guo_2023_exp_002 guo_2023_exp2_005 guo_2023_exp_002_assay_003 guo_2023_exp2_005_assay2_001 zebrafish Danio rerio commercial supplier not_wild female azoxystrobin analytical 131860-33-8 in paper B-methoxyacrylates 20 ug/L 42 days DMSO solvent_used 27 celsius courting courtship distance in region of attraction distance in attraction zone NA NA fig1c guo_2023_fig1c NA NA NA 18 1884.3730430 237.0771902 NA NA 55.87962963 study reports mean and se states N=3, 18 per treatment - I assume this is 18 for each concentration NA NA NA 18 1630.6968560 267.0180022 NA NA 62.93674669 study reports mean and se states N=3, 18 per treatment - I assume this is 18 for each concentration NA NA NA NA
NA NA SN KM The kisspeptin-GnIH signaling pathway in the role of zebrafish courtship and aggressive behavior induced by azoxystrobin 10.1016/j.envpol.2023.121461 https://www.sciencedirect.com/science/article/pii/S0269749123004633?via%3Dihub Environmental Pollution guo_2023 guo_2023_exp_003 guo_2023_exp2_006 guo_2023_exp_003_assay_003 guo_2023_exp2_006_assay2_001 zebrafish Danio rerio commercial supplier not_wild female azoxystrobin analytical 131860-33-8 in paper B-methoxyacrylates 200 ug/L 42 days DMSO solvent_used 27 celsius courting courtship distance in region of attraction distance in attraction zone NA NA fig1c guo_2023_fig1c NA NA NA 18 1884.3730430 237.0771902 NA NA 55.87962963 study reports mean and se states N=3, 18 per treatment - I assume this is 18 for each concentration NA NA NA 18 1551.1200200 246.3088621 NA NA 58.05555556 study reports mean and se states N=3, 18 per treatment - I assume this is 18 for each concentration NA NA NA NA
NA NA SN KM The kisspeptin-GnIH signaling pathway in the role of zebrafish courtship and aggressive behavior induced by azoxystrobin 10.1016/j.envpol.2023.121461 https://www.sciencedirect.com/science/article/pii/S0269749123004633?via%3Dihub Environmental Pollution guo_2023 guo_2023_exp_001 guo_2023_exp2_004 guo_2023_exp_001_assay_004 guo_2023_exp2_004_assay2_002 zebrafish Danio rerio commercial supplier not_wild female azoxystrobin analytical 131860-33-8 in paper B-methoxyacrylates 0.2 ug/L 42 days DMSO solvent_used 27 celsius courting courtship frequency in region of attraction frequency of entries into attraction zone NA NA fig1d guo_2023_fig1d NA NA NA 18 409.4204690 94.9970023 NA NA 22.39100817 study reports mean and se states N=3, 18 per treatment - I assume this is 18 for each concentration NA NA NA 18 350.5993116 108.2921041 NA NA 25.52469371 study reports mean and se states N=3, 18 per treatment - I assume this is 18 for each concentration NA NA NA NA
NA NA SN KM The kisspeptin-GnIH signaling pathway in the role of zebrafish courtship and aggressive behavior induced by azoxystrobin 10.1016/j.envpol.2023.121461 https://www.sciencedirect.com/science/article/pii/S0269749123004633?via%3Dihub Environmental Pollution guo_2023 guo_2023_exp_002 guo_2023_exp2_005 guo_2023_exp_002_assay_004 guo_2023_exp2_005_assay2_002 zebrafish Danio rerio commercial supplier not_wild female azoxystrobin analytical 131860-33-8 in paper B-methoxyacrylates 20 ug/L 42 days DMSO solvent_used 27 celsius courting courtship frequency in region of attraction frequency of entries into attraction zone NA NA fig1d guo_2023_fig1d NA NA NA 18 409.4204690 94.9970023 NA NA 22.39100817 study reports mean and se states N=3, 18 per treatment - I assume this is 18 for each concentration NA NA NA 18 318.4471427 45.7307342 NA NA 10.77883742 study reports mean and se states N=3, 18 per treatment - I assume this is 18 for each concentration NA NA NA NA
NA NA SN KM The kisspeptin-GnIH signaling pathway in the role of zebrafish courtship and aggressive behavior induced by azoxystrobin 10.1016/j.envpol.2023.121461 https://www.sciencedirect.com/science/article/pii/S0269749123004633?via%3Dihub Environmental Pollution guo_2023 guo_2023_exp_003 guo_2023_exp2_006 guo_2023_exp_003_assay_004 guo_2023_exp2_006_assay2_002 zebrafish Danio rerio commercial supplier not_wild female azoxystrobin analytical 131860-33-8 in paper B-methoxyacrylates 200 ug/L 42 days DMSO solvent_used 27 celsius courting courtship frequency in region of attraction frequency of entries into attraction zone NA NA fig1d guo_2023_fig1d NA NA NA 18 409.4204690 94.9970023 NA NA 22.39100817 study reports mean and se states N=3, 18 per treatment - I assume this is 18 for each concentration NA NA NA 18 247.1051863 37.7633368 NA NA 8.900903843 study reports mean and se states N=3, 18 per treatment - I assume this is 18 for each concentration NA NA NA NA
NA NA SN KM The kisspeptin-GnIH signaling pathway in the role of zebrafish courtship and aggressive behavior induced by azoxystrobin 10.1016/j.envpol.2023.121461 https://www.sciencedirect.com/science/article/pii/S0269749123004633?via%3Dihub Environmental Pollution guo_2023 guo_2023_exp_001 guo_2023_exp2_007 guo_2023_exp_001_assay_005 guo_2023_exp2_007_assay2_001 zebrafish Danio rerio commercial supplier not_wild male azoxystrobin analytical 131860-33-8 in paper B-methoxyacrylates 0.2 ug/L 42 days DMSO solvent_used 27 celsius courting courtship time near female time spent near potential mate NA NA fig3a guo_2023_fig3a NA NA NA 18 268.9578769 75.3692640 NA NA 17.76470588 study reports mean and se states N=3, 18 per treatment - I assume this is 18 for each concentration NA NA NA 18 235.1859327 23.4864342 NA NA 5.535805627 study reports mean and se states N=3, 18 per treatment - I assume this is 18 for each concentration NA NA NA NA
NA NA SN KM The kisspeptin-GnIH signaling pathway in the role of zebrafish courtship and aggressive behavior induced by azoxystrobin 10.1016/j.envpol.2023.121461 https://www.sciencedirect.com/science/article/pii/S0269749123004633?via%3Dihub Environmental Pollution guo_2023 guo_2023_exp_002 guo_2023_exp2_008 guo_2023_exp_002_assay_005 guo_2023_exp2_008_assay2_001 zebrafish Danio rerio commercial supplier not_wild male azoxystrobin analytical 131860-33-8 in paper B-methoxyacrylates 20 ug/L 42 days DMSO solvent_used 27 celsius courting courtship time near female time spent near potential mate NA NA fig3a guo_2023_fig3a NA NA NA 18 268.9578769 75.3692640 NA NA 17.76470588 study reports mean and se states N=3, 18 per treatment - I assume this is 18 for each concentration NA NA NA 18 219.6814749 10.9266987 NA NA 2.57544757 study reports mean and se states N=3, 18 per treatment - I assume this is 18 for each concentration NA NA NA NA
NA NA SN KM The kisspeptin-GnIH signaling pathway in the role of zebrafish courtship and aggressive behavior induced by azoxystrobin 10.1016/j.envpol.2023.121461 https://www.sciencedirect.com/science/article/pii/S0269749123004633?via%3Dihub Environmental Pollution guo_2023 guo_2023_exp_003 guo_2023_exp2_009 guo_2023_exp_003_assay_005 guo_2023_exp2_009_assay2_001 zebrafish Danio rerio commercial supplier not_wild male azoxystrobin analytical 131860-33-8 in paper B-methoxyacrylates 200 ug/L 42 days DMSO solvent_used 27 celsius courting courtship time near female time spent near potential mate NA NA fig3a guo_2023_fig3a NA NA NA 18 268.9578769 75.3692640 NA NA 17.76470588 study reports mean and se states N=3, 18 per treatment - I assume this is 18 for each concentration NA NA NA 18 185.9934066 29.5411490 NA NA 6.962915601 study reports mean and se states N=3, 18 per treatment - I assume this is 18 for each concentration NA NA NA NA
NA NA SN KM The kisspeptin-GnIH signaling pathway in the role of zebrafish courtship and aggressive behavior induced by azoxystrobin 10.1016/j.envpol.2023.121461 https://www.sciencedirect.com/science/article/pii/S0269749123004633?via%3Dihub Environmental Pollution guo_2023 guo_2023_exp_001 guo_2023_exp2_010 guo_2023_exp_001_assay_006 guo_2023_exp2_010_assay2_001 zebrafish Danio rerio commercial supplier not_wild female azoxystrobin analytical 131860-33-8 in paper B-methoxyacrylates 0.2 ug/L 42 days DMSO solvent_used 27 celsius courting courtship time near male time spent near potential mate NA NA fig3b guo_2023_fig3b NA NA NA 18 375.9013678 57.8482422 NA NA 13.63496144 study reports mean and se states N=3, 18 per treatment - I assume this is 18 for each concentration NA NA NA 18 351.1144493 10.3830178 NA NA 2.447300771 study reports mean and se states N=3, 18 per treatment - I assume this is 18 for each concentration NA NA NA NA
NA NA SN KM The kisspeptin-GnIH signaling pathway in the role of zebrafish courtship and aggressive behavior induced by azoxystrobin 10.1016/j.envpol.2023.121461 https://www.sciencedirect.com/science/article/pii/S0269749123004633?via%3Dihub Environmental Pollution guo_2023 guo_2023_exp_002 guo_2023_exp2_011 guo_2023_exp_002_assay_006 guo_2023_exp2_011_assay2_001 zebrafish Danio rerio commercial supplier not_wild female azoxystrobin analytical 131860-33-8 in paper B-methoxyacrylates 20 ug/L 42 days DMSO solvent_used 27 celsius courting courtship time near male time spent near potential mate NA NA fig3b guo_2023_fig3b NA NA NA 18 375.9013678 57.8482422 NA NA 13.63496144 study reports mean and se states N=3, 18 per treatment - I assume this is 18 for each concentration NA NA NA 18 299.3022884 25.0850221 NA NA 5.912596401 study reports mean and se states N=3, 18 per treatment - I assume this is 18 for each concentration NA NA NA NA
NA NA SN KM The kisspeptin-GnIH signaling pathway in the role of zebrafish courtship and aggressive behavior induced by azoxystrobin 10.1016/j.envpol.2023.121461 https://www.sciencedirect.com/science/article/pii/S0269749123004633?via%3Dihub Environmental Pollution guo_2023 guo_2023_exp_003 guo_2023_exp2_012 guo_2023_exp_003_assay_006 guo_2023_exp2_012_assay2_001 zebrafish Danio rerio commercial supplier not_wild female azoxystrobin analytical 131860-33-8 in paper B-methoxyacrylates 200 ug/L 42 days DMSO solvent_used 27 celsius courting courtship time near male time spent near potential mate NA NA fig3b guo_2023_fig3b NA NA NA 18 375.9013678 57.8482422 NA NA 13.63496144 study reports mean and se states N=3, 18 per treatment - I assume this is 18 for each concentration NA NA NA 18 288.2150279 37.1258326 NA NA 8.750642674 study reports mean and se states N=3, 18 per treatment - I assume this is 18 for each concentration NA NA NA NA
NA NA SN KM The kisspeptin-GnIH signaling pathway in the role of zebrafish courtship and aggressive behavior induced by azoxystrobin 10.1016/j.envpol.2023.121461 https://www.sciencedirect.com/science/article/pii/S0269749123004633?via%3Dihub Environmental Pollution guo_2023 guo_2023_exp_001 guo_2023_exp2_013 guo_2023_exp_001_assay_007 guo_2023_exp2_013_assay2_001 zebrafish Danio rerio commercial supplier not_wild female azoxystrobin analytical 131860-33-8 in paper B-methoxyacrylates 0.2 ug/L 42 days DMSO solvent_used 27 celsius aggression aggression distance in region of contact distance travelled in aggressive zone NA NA fig4a guo_2023_fig4a NA NA NA 18 791.2936092 22.3047106 NA NA 5.257270694 study reports mean and se states N=3, 18 per treatment - I assume this is 18 for each concentration NA NA NA 18 822.1038557 43.8501118 NA NA 10.33557047 study reports mean and se states N=3, 18 per treatment - I assume this is 18 for each concentration NA NA NA NA
NA NA SN KM The kisspeptin-GnIH signaling pathway in the role of zebrafish courtship and aggressive behavior induced by azoxystrobin 10.1016/j.envpol.2023.121461 https://www.sciencedirect.com/science/article/pii/S0269749123004633?via%3Dihub Environmental Pollution guo_2023 guo_2023_exp_002 guo_2023_exp2_014 guo_2023_exp_002_assay_007 guo_2023_exp2_014_assay2_001 zebrafish Danio rerio commercial supplier not_wild female azoxystrobin analytical 131860-33-8 in paper B-methoxyacrylates 20 ug/L 42 days DMSO solvent_used 27 celsius aggression aggression distance in region of contact distance travelled in aggressive zone NA NA fig4a guo_2023_fig4a NA NA NA 18 791.2936092 22.3047106 NA NA 5.257270694 study reports mean and se states N=3, 18 per treatment - I assume this is 18 for each concentration NA NA NA 18 835.5618474 65.1867030 NA NA 15.36465324 study reports mean and se states N=3, 18 per treatment - I assume this is 18 for each concentration NA NA NA NA
NA NA SN KM The kisspeptin-GnIH signaling pathway in the role of zebrafish courtship and aggressive behavior induced by azoxystrobin 10.1016/j.envpol.2023.121461 https://www.sciencedirect.com/science/article/pii/S0269749123004633?via%3Dihub Environmental Pollution guo_2023 guo_2023_exp_003 guo_2023_exp2_015 guo_2023_exp_003_assay_007 guo_2023_exp2_015_assay2_001 zebrafish Danio rerio commercial supplier not_wild female azoxystrobin analytical 131860-33-8 in paper B-methoxyacrylates 200 ug/L 42 days DMSO solvent_used 27 celsius aggression aggression distance in region of contact distance travelled in aggressive zone NA NA fig4a guo_2023_fig4a NA NA NA 18 791.2936092 22.3047106 NA NA 5.257270694 study reports mean and se states N=3, 18 per treatment - I assume this is 18 for each concentration NA NA NA 18 883.1714357 53.8160463 NA NA 12.68456376 study reports mean and se states N=3, 18 per treatment - I assume this is 18 for each concentration NA NA NA NA
NA NA SN KM The kisspeptin-GnIH signaling pathway in the role of zebrafish courtship and aggressive behavior induced by azoxystrobin 10.1016/j.envpol.2023.121461 https://www.sciencedirect.com/science/article/pii/S0269749123004633?via%3Dihub Environmental Pollution guo_2023 guo_2023_exp_001 guo_2023_exp2_013 guo_2023_exp_001_assay_008 guo_2023_exp2_013_assay2_002 zebrafish Danio rerio commercial supplier not_wild male azoxystrobin analytical 131860-33-8 in paper B-methoxyacrylates 0.2 ug/L 42 days DMSO solvent_used 27 celsius aggression aggression distance in region of contact distance travelled in aggressive zone NA NA fig4c guo_2023_fig4c NA NA NA 18 718.7022832 88.9227981 NA NA 20.95930452 study reports mean and se states N=3, 18 per treatment - I assume this is 18 for each concentration NA NA NA 18 811.1211318 259.4663803 NA NA 61.15681234 study reports mean and se states N=3, 18 per treatment - I assume this is 18 for each concentration NA NA NA NA
NA NA SN KM The kisspeptin-GnIH signaling pathway in the role of zebrafish courtship and aggressive behavior induced by azoxystrobin 10.1016/j.envpol.2023.121461 https://www.sciencedirect.com/science/article/pii/S0269749123004633?via%3Dihub Environmental Pollution guo_2023 guo_2023_exp_002 guo_2023_exp2_014 guo_2023_exp_002_assay_008 guo_2023_exp2_014_assay2_002 zebrafish Danio rerio commercial supplier not_wild male azoxystrobin analytical 131860-33-8 in paper B-methoxyacrylates 20 ug/L 42 days DMSO solvent_used 27 celsius aggression aggression distance in region of contact distance travelled in aggressive zone NA NA fig4c guo_2023_fig4c NA NA NA 18 718.7022832 88.9227981 NA NA 20.95930452 study reports mean and se states N=3, 18 per treatment - I assume this is 18 for each concentration NA NA NA 18 970.9377468 367.0593119 NA NA 86.51670951 study reports mean and se states N=3, 18 per treatment - I assume this is 18 for each concentration NA NA NA NA
NA NA SN KM The kisspeptin-GnIH signaling pathway in the role of zebrafish courtship and aggressive behavior induced by azoxystrobin 10.1016/j.envpol.2023.121461 https://www.sciencedirect.com/science/article/pii/S0269749123004633?via%3Dihub Environmental Pollution guo_2023 guo_2023_exp_003 guo_2023_exp2_015 guo_2023_exp_003_assay_008 guo_2023_exp2_015_assay2_002 zebrafish Danio rerio commercial supplier not_wild male azoxystrobin analytical 131860-33-8 in paper B-methoxyacrylates 200 ug/L 42 days DMSO solvent_used 27 celsius aggression aggression distance in region of contact distance travelled in aggressive zone NA NA fig4c guo_2023_fig4c NA NA NA 18 718.7022832 88.9227981 NA NA 20.95930452 study reports mean and se states N=3, 18 per treatment - I assume this is 18 for each concentration NA NA NA 18 1072.1142850 379.6290892 NA NA 89.47943445 study reports mean and se states N=3, 18 per treatment - I assume this is 18 for each concentration NA NA NA NA
NA NA SN KM The kisspeptin-GnIH signaling pathway in the role of zebrafish courtship and aggressive behavior induced by azoxystrobin 10.1016/j.envpol.2023.121461 https://www.sciencedirect.com/science/article/pii/S0269749123004633?via%3Dihub Environmental Pollution guo_2023 guo_2023_exp_001 guo_2023_exp2_016 guo_2023_exp_001_assay_009 guo_2023_exp2_016_assay2_001 zebrafish Danio rerio commercial supplier not_wild female azoxystrobin analytical 131860-33-8 in paper B-methoxyacrylates 0.2 ug/L 42 days DMSO solvent_used 27 celsius aggression aggression frequency in region of contact frequency of entries into aggression zone entry NA fig4b guo_2023_fig4b NA NA NA 18 295.2174154 51.7694062 NA NA 12.20216606 study reports mean and se states N=3, 18 per treatment - I assume this is 18 for each concentration NA NA NA 18 301.5914375 52.1369996 NA NA 12.28880866 study reports mean and se states N=3, 18 per treatment - I assume this is 18 for each concentration NA NA NA NA
NA NA SN KM The kisspeptin-GnIH signaling pathway in the role of zebrafish courtship and aggressive behavior induced by azoxystrobin 10.1016/j.envpol.2023.121461 https://www.sciencedirect.com/science/article/pii/S0269749123004633?via%3Dihub Environmental Pollution guo_2023 guo_2023_exp_002 guo_2023_exp2_017 guo_2023_exp_002_assay_009 guo_2023_exp2_017_assay2_001 zebrafish Danio rerio commercial supplier not_wild female azoxystrobin analytical 131860-33-8 in paper B-methoxyacrylates 20 ug/L 42 days DMSO solvent_used 27 celsius aggression aggression frequency in region of contact frequency of entries into aggression zone entry NA fig4b guo_2023_fig4b NA NA NA 18 295.2174154 51.7694062 NA NA 12.20216606 study reports mean and se states N=3, 18 per treatment - I assume this is 18 for each concentration NA NA NA 18 330.3398204 32.9302436 NA NA 7.761732852 study reports mean and se states N=3, 18 per treatment - I assume this is 18 for each concentration NA NA NA NA
NA NA SN KM The kisspeptin-GnIH signaling pathway in the role of zebrafish courtship and aggressive behavior induced by azoxystrobin 10.1016/j.envpol.2023.121461 https://www.sciencedirect.com/science/article/pii/S0269749123004633?via%3Dihub Environmental Pollution guo_2023 guo_2023_exp_003 guo_2023_exp2_018 guo_2023_exp_003_assay_009 guo_2023_exp2_018_assay2_001 zebrafish Danio rerio commercial supplier not_wild female azoxystrobin analytical 131860-33-8 in paper B-methoxyacrylates 200 ug/L 42 days DMSO solvent_used 27 celsius aggression aggression frequency in region of contact frequency of entries into aggression zone entry NA fig4b guo_2023_fig4b NA NA NA 18 295.2174154 51.7694062 NA NA 12.20216606 study reports mean and se states N=3, 18 per treatment - I assume this is 18 for each concentration NA NA NA 18 373.8358539 35.7280077 NA NA 8.421172178 study reports mean and se states N=3, 18 per treatment - I assume this is 18 for each concentration NA NA NA NA
NA NA SN KM The kisspeptin-GnIH signaling pathway in the role of zebrafish courtship and aggressive behavior induced by azoxystrobin 10.1016/j.envpol.2023.121461 https://www.sciencedirect.com/science/article/pii/S0269749123004633?via%3Dihub Environmental Pollution guo_2023 guo_2023_exp_001 guo_2023_exp2_016 guo_2023_exp_001_assay_010 guo_2023_exp2_016_assay2_002 zebrafish Danio rerio commercial supplier not_wild male azoxystrobin analytical 131860-33-8 in paper B-methoxyacrylates 0.2 ug/L 42 days DMSO solvent_used 27 celsius aggression aggression frequency in region of contact frequency of entries into aggression zone entry NA fig4d guo_2023_fig4d NA NA NA 18 401.5002235 46.0038347 NA NA 10.84320782 study reports mean and se states N=3, 18 per treatment - I assume this is 18 for each concentration NA NA NA 18 404.2687021 27.4065398 NA NA 6.459783385 study reports mean and se states N=3, 18 per treatment - I assume this is 18 for each concentration NA NA NA NA
NA NA SN KM The kisspeptin-GnIH signaling pathway in the role of zebrafish courtship and aggressive behavior induced by azoxystrobin 10.1016/j.envpol.2023.121461 https://www.sciencedirect.com/science/article/pii/S0269749123004633?via%3Dihub Environmental Pollution guo_2023 guo_2023_exp_002 guo_2023_exp2_017 guo_2023_exp_002_assay_010 guo_2023_exp2_017_assay2_002 zebrafish Danio rerio commercial supplier not_wild male azoxystrobin analytical 131860-33-8 in paper B-methoxyacrylates 20 ug/L 42 days DMSO solvent_used 27 celsius aggression aggression frequency in region of contact frequency of entries into aggression zone entry NA fig4d guo_2023_fig4d NA NA NA 18 401.5002235 46.0038347 NA NA 10.84320782 study reports mean and se states N=3, 18 per treatment - I assume this is 18 for each concentration NA NA NA 18 454.2716458 116.7980733 NA NA 27.52956989 study reports mean and se states N=3, 18 per treatment - I assume this is 18 for each concentration NA NA NA NA
NA NA SN KM The kisspeptin-GnIH signaling pathway in the role of zebrafish courtship and aggressive behavior induced by azoxystrobin 10.1016/j.envpol.2023.121461 https://www.sciencedirect.com/science/article/pii/S0269749123004633?via%3Dihub Environmental Pollution guo_2023 guo_2023_exp_003 guo_2023_exp2_018 guo_2023_exp_003_assay_010 guo_2023_exp2_018_assay2_002 zebrafish Danio rerio commercial supplier not_wild male azoxystrobin analytical 131860-33-8 in paper B-methoxyacrylates 200 ug/L 42 days DMSO solvent_used 27 celsius aggression aggression frequency in region of contact frequency of entries into aggression zone entry NA fig4d guo_2023_fig4d NA NA NA 18 401.5002235 46.0038347 NA NA 10.84320782 study reports mean and se states N=3, 18 per treatment - I assume this is 18 for each concentration NA NA NA 18 506.6776000 68.1248300 NA NA 15.87722473 study reports mean and se states N=3, 18 per treatment - I assume this is 18 for each concentration NA NA NA NA
NA NA YY KM Pyriproxyfen Exposure Impairs Cognitive Parameters and Alters Cortisol Levels in Zebrafish 10.3389/fnbeh.2020.00103 https://www.frontiersin.org/articles/10.3389/fnbeh.2020.00103/full Frontiers in Behavioral Neuroscience gusso_2020 gusso_2020_exp_001 gusso_2020_exp2_001 gusso_2020_exp_001_assay_001 gusso_2020_exp2_001_assay2_001 zebrafish Danio rerio not reported NA mixed pyriproxyfen not reported 95737- 68-1 in paper phenoxy 0.125 mg/L 96 hours none none 28 celsius aggression aggression total aggressive behaviours towards mirror frequency of aggressive behaviour count NA fig3a gusso_2020_fig3a NA NA NA 14 111.4008331 61.6942041 NA NA 16.4884696 study reports mean and se sample size provided as a range so selected the lowest value NA NA NA 14 97.3645968 67.1674566 NA NA 17.95125786 study reports mean and se sample size provided as a range so selected the lowest value NA NA NA NA
NA NA YY KM Pyriproxyfen Exposure Impairs Cognitive Parameters and Alters Cortisol Levels in Zebrafish 10.3389/fnbeh.2020.00103 https://www.frontiersin.org/articles/10.3389/fnbeh.2020.00103/full Frontiers in Behavioral Neuroscience gusso_2020 gusso_2020_exp_002 gusso_2020_exp2_002 gusso_2020_exp_002_assay_001 gusso_2020_exp2_002_assay2_001 zebrafish Danio rerio not reported NA mixed pyriproxyfen not reported 95737- 68-1 in paper phenoxy 0.675 mg/L 96 hours none none 28 celsius aggression aggression total aggressive behaviours towards mirror frequency of aggressive behaviour count NA fig3a gusso_2020_fig3a NA NA NA 14 111.4008331 61.6942041 NA NA 16.4884696 study reports mean and se sample size provided as a range so selected the lowest value NA NA NA 14 115.4811997 55.9483675 NA NA 14.95283019 study reports mean and se sample size provided as a range so selected the lowest value NA NA NA NA
NA NA YY KM Pyriproxyfen Exposure Impairs Cognitive Parameters and Alters Cortisol Levels in Zebrafish 10.3389/fnbeh.2020.00103 https://www.frontiersin.org/articles/10.3389/fnbeh.2020.00103/full Frontiers in Behavioral Neuroscience gusso_2020 gusso_2020_exp_003 gusso_2020_exp2_003 gusso_2020_exp_003_assay_001 gusso_2020_exp2_003_assay2_001 zebrafish Danio rerio not reported NA mixed pyriproxyfen not reported 95737- 68-1 in paper phenoxy 1.75 mg/L 96 hours none none 28 celsius aggression aggression total aggressive behaviours towards mirror frequency of aggressive behaviour count NA fig3a gusso_2020_fig3a NA NA NA 14 111.4008331 61.6942041 NA NA 16.4884696 study reports mean and se sample size provided as a range so selected the lowest value NA NA NA 14 89.6508764 68.6872598 NA NA 18.35744235 study reports mean and se sample size provided as a range so selected the lowest value NA NA NA NA
NA NA YY KM Pyriproxyfen Exposure Impairs Cognitive Parameters and Alters Cortisol Levels in Zebrafish 10.3389/fnbeh.2020.00103 https://www.frontiersin.org/articles/10.3389/fnbeh.2020.00103/full Frontiers in Behavioral Neuroscience gusso_2020 gusso_2020_exp_001 gusso_2020_exp2_001 gusso_2020_exp_001_assay_002 gusso_2020_exp2_001_assay2_002 zebrafish Danio rerio not reported NA mixed pyriproxyfen not reported 95737- 68-1 in paper phenoxy 0.125 mg/L 96 hours DMSO solvent_used 28 celsius aggression aggression total aggressive behaviours towards mirror frequency of aggressive behaviour count NA fig3a gusso_2020_fig3a NA NA NA 14 85.2610740 53.8304483 NA NA 14.38679245 study reports mean and se sample size provided as a range so selected the lowest value NA NA NA 14 97.3645968 67.1674566 NA NA 17.95125786 study reports mean and se sample size provided as a range so selected the lowest value NA NA NA NA
NA NA YY KM Pyriproxyfen Exposure Impairs Cognitive Parameters and Alters Cortisol Levels in Zebrafish 10.3389/fnbeh.2020.00103 https://www.frontiersin.org/articles/10.3389/fnbeh.2020.00103/full Frontiers in Behavioral Neuroscience gusso_2020 gusso_2020_exp_002 gusso_2020_exp2_002 gusso_2020_exp_002_assay_002 gusso_2020_exp2_002_assay2_002 zebrafish Danio rerio not reported NA mixed pyriproxyfen not reported 95737- 68-1 in paper phenoxy 0.675 mg/L 96 hours DMSO solvent_used 28 celsius aggression aggression total aggressive behaviours towards mirror frequency of aggressive behaviour count NA fig3a gusso_2020_fig3a NA NA NA 14 85.2610740 53.8304483 NA NA 14.38679245 study reports mean and se sample size provided as a range so selected the lowest value NA NA NA 14 115.4811997 55.9483675 NA NA 14.95283019 study reports mean and se sample size provided as a range so selected the lowest value NA NA NA NA
NA NA YY KM Pyriproxyfen Exposure Impairs Cognitive Parameters and Alters Cortisol Levels in Zebrafish 10.3389/fnbeh.2020.00103 https://www.frontiersin.org/articles/10.3389/fnbeh.2020.00103/full Frontiers in Behavioral Neuroscience gusso_2020 gusso_2020_exp_003 gusso_2020_exp2_003 gusso_2020_exp_003_assay_002 gusso_2020_exp2_003_assay2_002 zebrafish Danio rerio not reported NA mixed pyriproxyfen not reported 95737- 68-1 in paper phenoxy 1.75 mg/L 96 hours DMSO solvent_used 28 celsius aggression aggression total aggressive behaviours towards mirror frequency of aggressive behaviour count NA fig3a gusso_2020_fig3a NA NA NA 14 85.2610740 53.8304483 NA NA 14.38679245 study reports mean and se sample size provided as a range so selected the lowest value NA NA NA 14 89.6508764 68.6872598 NA NA 18.35744235 study reports mean and se sample size provided as a range so selected the lowest value NA NA NA NA
NA NA YY KM Pyriproxyfen Exposure Impairs Cognitive Parameters and Alters Cortisol Levels in Zebrafish 10.3389/fnbeh.2020.00103 https://www.frontiersin.org/articles/10.3389/fnbeh.2020.00103/full Frontiers in Behavioral Neuroscience gusso_2020 gusso_2020_exp_001 gusso_2020_exp2_004 gusso_2020_exp_001_assay_003 gusso_2020_exp2_004_assay2_001 zebrafish Danio rerio not reported NA mixed pyriproxyfen not reported 95737- 68-1 in paper phenoxy 0.125 mg/L 96 hours none none 28 celsius social interaction sociality time spent in the area closest to the stimulus aquarium time spent in social zone zone NA fig3b gusso_2020_fig3b NA NA NA 13 221.2292884 59.9173979 NA NA 16.61809619 study reports mean and se sample size provided as a range so selected the lowest value NA NA NA 13 217.1531516 83.6582537 NA NA 23.20262487 study reports mean and se sample size provided as a range so selected the lowest value NA NA NA NA
NA NA YY KM Pyriproxyfen Exposure Impairs Cognitive Parameters and Alters Cortisol Levels in Zebrafish 10.3389/fnbeh.2020.00103 https://www.frontiersin.org/articles/10.3389/fnbeh.2020.00103/full Frontiers in Behavioral Neuroscience gusso_2020 gusso_2020_exp_002 gusso_2020_exp2_005 gusso_2020_exp_002_assay_003 gusso_2020_exp2_005_assay2_001 zebrafish Danio rerio not reported NA mixed pyriproxyfen not reported 95737- 68-1 in paper phenoxy 0.675 mg/L 96 hours none none 28 celsius social interaction sociality time spent in the area closest to the stimulus aquarium time spent in social zone zone NA fig3b gusso_2020_fig3b NA NA NA 13 221.2292884 59.9173979 NA NA 16.61809619 study reports mean and se sample size provided as a range so selected the lowest value NA NA NA 13 202.4163493 73.4836012 NA NA 20.38068401 study reports mean and se sample size provided as a range so selected the lowest value NA NA NA NA
NA NA YY KM Pyriproxyfen Exposure Impairs Cognitive Parameters and Alters Cortisol Levels in Zebrafish 10.3389/fnbeh.2020.00103 https://www.frontiersin.org/articles/10.3389/fnbeh.2020.00103/full Frontiers in Behavioral Neuroscience gusso_2020 gusso_2020_exp_003 gusso_2020_exp2_006 gusso_2020_exp_003_assay_003 gusso_2020_exp2_006_assay2_001 zebrafish Danio rerio not reported NA mixed pyriproxyfen not reported 95737- 68-1 in paper phenoxy 1.75 mg/L 96 hours none none 28 celsius social interaction sociality time spent in the area closest to the stimulus aquarium time spent in social zone zone NA fig3b gusso_2020_fig3b NA NA NA 13 221.2292884 59.9173979 NA NA 16.61809619 study reports mean and se sample size provided as a range so selected the lowest value NA NA NA 13 233.7712478 46.3511946 NA NA 12.85550837 study reports mean and se sample size provided as a range so selected the lowest value NA NA NA NA
NA NA YY KM Pyriproxyfen Exposure Impairs Cognitive Parameters and Alters Cortisol Levels in Zebrafish 10.3389/fnbeh.2020.00103 https://www.frontiersin.org/articles/10.3389/fnbeh.2020.00103/full Frontiers in Behavioral Neuroscience gusso_2020 gusso_2020_exp_001 gusso_2020_exp2_004 gusso_2020_exp_001_assay_004 gusso_2020_exp2_004_assay2_002 zebrafish Danio rerio not reported NA mixed pyriproxyfen not reported 95737- 68-1 in paper phenoxy 0.125 mg/L 96 hours DMSO solvent_used 28 celsius social interaction sociality time spent in the area closest to the stimulus aquarium time spent in social zone zone NA fig3b gusso_2020_fig3b NA NA NA 13 221.2292884 59.9173979 NA NA 16.61809619 study reports mean and se sample size provided as a range so selected the lowest value NA NA NA 13 217.1531516 83.6582537 NA NA 23.20262487 study reports mean and se sample size provided as a range so selected the lowest value NA NA NA NA
NA NA YY KM Pyriproxyfen Exposure Impairs Cognitive Parameters and Alters Cortisol Levels in Zebrafish 10.3389/fnbeh.2020.00103 https://www.frontiersin.org/articles/10.3389/fnbeh.2020.00103/full Frontiers in Behavioral Neuroscience gusso_2020 gusso_2020_exp_002 gusso_2020_exp2_005 gusso_2020_exp_002_assay_004 gusso_2020_exp2_005_assay2_002 zebrafish Danio rerio not reported NA mixed pyriproxyfen not reported 95737- 68-1 in paper phenoxy 0.675 mg/L 96 hours DMSO solvent_used 28 celsius social interaction sociality time spent in the area closest to the stimulus aquarium time spent in social zone zone NA fig3b gusso_2020_fig3b NA NA NA 13 221.2292884 59.9173979 NA NA 16.61809619 study reports mean and se sample size provided as a range so selected the lowest value NA NA NA 13 202.4163493 73.4836012 NA NA 20.38068401 study reports mean and se sample size provided as a range so selected the lowest value NA NA NA NA
NA NA YY KM Pyriproxyfen Exposure Impairs Cognitive Parameters and Alters Cortisol Levels in Zebrafish 10.3389/fnbeh.2020.00103 https://www.frontiersin.org/articles/10.3389/fnbeh.2020.00103/full Frontiers in Behavioral Neuroscience gusso_2020 gusso_2020_exp_003 gusso_2020_exp2_006 gusso_2020_exp_003_assay_004 gusso_2020_exp2_006_assay2_002 zebrafish Danio rerio not reported NA mixed pyriproxyfen not reported 95737- 68-1 in paper phenoxy 1.75 mg/L 96 hours DMSO solvent_used 28 celsius social interaction sociality time spent in the area closest to the stimulus aquarium time spent in social zone zone NA fig3b gusso_2020_fig3b NA NA NA 13 221.2292884 59.9173979 NA NA 16.61809619 study reports mean and se sample size provided as a range so selected the lowest value NA NA NA 13 233.7712478 46.3511946 NA NA 12.85550837 study reports mean and se sample size provided as a range so selected the lowest value NA NA NA NA
used species median of shoal NA YY KM Adult exposure to insecticides causes persistent behavioral and neurochemical alterations in zebrafish 10.1016/j.ntt.2019.106853 https://www.sciencedirect.com/science/article/pii/S0892036219301539?via%3Dihub Neurotoxicology and Teratology hawkey_2020 hawkey_2020_exp_001 hawkey_2020_exp2_001 hawkey_2020_exp_001_assay_001 hawkey_2020_exp2_001_assay2_001 zebrafish Danio rerio labratory stock from wild population not_wild mixed DDT not reported 50-29-3 https://commonchemistry.cas.org/detail?cas_rn=50-29-3&search=DDT organochlorine 10 nm 5 weeks DMSO solvent_used 28 celsius shoaling collective behaviour total distance moved group movement NA NA fig3b hawkey_2020_fig3b 18.000000 12.000000 36 36 2013.6537020 535.6481481 309.2566025 535.6481482 89.27469136 study reports mean and se exact sample size provided 17.500000 11.666667 35 35 1494.9636350 687.3399572 89.2746914 116.1816578 116.1816578 study reports mean and se exact sample size provided NA NA NA NA
used species median of shoal NA YY KM Adult exposure to insecticides causes persistent behavioral and neurochemical alterations in zebrafish 10.1016/j.ntt.2019.106853 https://www.sciencedirect.com/science/article/pii/S0892036219301539?via%3Dihub Neurotoxicology and Teratology hawkey_2020 hawkey_2020_exp_002 hawkey_2020_exp2_002 hawkey_2020_exp_002_assay_001 hawkey_2020_exp2_002_assay2_001 zebrafish Danio rerio labratory stock from wild population not_wild mixed DDT not reported 50-29-3 https://commonchemistry.cas.org/detail?cas_rn=50-29-3&search=DDT organochlorine 30 nm 5 weeks DMSO solvent_used 28 celsius shoaling collective behaviour total distance moved group movement NA NA fig3b hawkey_2020_fig3b 18.000000 12.000000 36 36 2013.6537020 535.6481481 309.2566025 535.6481482 89.27469136 study reports mean and se exact sample size provided 17.500000 11.666667 35 35 1741.4132600 571.8485849 89.2746914 96.6600529 96.66005291 study reports mean and se exact sample size provided NA NA NA NA
used species median of shoal NA YY KM Adult exposure to insecticides causes persistent behavioral and neurochemical alterations in zebrafish 10.1016/j.ntt.2019.106853 https://www.sciencedirect.com/science/article/pii/S0892036219301539?via%3Dihub Neurotoxicology and Teratology hawkey_2020 hawkey_2020_exp_003 hawkey_2020_exp2_003 hawkey_2020_exp_003_assay_001 hawkey_2020_exp2_003_assay2_001 zebrafish Danio rerio labratory stock from wild population not_wild mixed chlorpyrifos not reported 2921-88-2 https://commonchemistry.cas.org/detail?cas_rn=2921-88-2&search=chlorpyrifos organophosphate 0.3 um 2 weeks DMSO solvent_used 28 celsius shoaling collective behaviour change in position group movement NA NA fig5b hawkey_2020_fig5b 11.000000 7.333333 22 22 1.6812550 4.6226932 2.6689132 4.6226932 0.985561497 study reports mean and se exact sample size provided 9.000000 6.000000 18 18 3.4988493 3.8752855 0.9855615 0.9134135 0.913413547 study reports mean and se exact sample size provided NA NA NA NA
used species median of shoal NA YY KM Adult exposure to insecticides causes persistent behavioral and neurochemical alterations in zebrafish 10.1016/j.ntt.2019.106853 https://www.sciencedirect.com/science/article/pii/S0892036219301539?via%3Dihub Neurotoxicology and Teratology hawkey_2020 hawkey_2020_exp_004 hawkey_2020_exp2_004 hawkey_2020_exp_004_assay_001 hawkey_2020_exp2_004_assay2_001 zebrafish Danio rerio labratory stock from wild population not_wild mixed chlorpyrifos not reported 2921-88-2 https://commonchemistry.cas.org/detail?cas_rn=2921-88-2&search=chlorpyrifos organophosphate 1 um 2 weeks DMSO solvent_used 28 celsius shoaling collective behaviour change in position group movement NA NA fig5b hawkey_2020_fig5b 11.000000 7.333333 22 22 1.6812550 4.6226932 2.6689132 4.6226932 0.985561497 study reports mean and se exact sample size provided 11.000000 7.333333 22 22 5.1874444 4.5148387 0.9855615 0.9625668 0.962566845 study reports mean and se exact sample size provided NA NA NA NA
used species median of shoal NA YY KM Adult exposure to insecticides causes persistent behavioral and neurochemical alterations in zebrafish 10.1016/j.ntt.2019.106853 https://www.sciencedirect.com/science/article/pii/S0892036219301539?via%3Dihub Neurotoxicology and Teratology hawkey_2020 hawkey_2020_exp_005 hawkey_2020_exp2_005 hawkey_2020_exp_005_assay_001 hawkey_2020_exp2_005_assay2_001 zebrafish Danio rerio labratory stock from wild population not_wild mixed chlorpyrifos not reported 2921-88-2 https://commonchemistry.cas.org/detail?cas_rn=2921-88-2&search=chlorpyrifos organophosphate 3 um 2 weeks DMSO solvent_used 28 celsius shoaling collective behaviour change in position group movement NA NA fig5b hawkey_2020_fig5b 11.000000 7.333333 22 22 1.6812550 4.6226932 2.6689132 4.6226932 0.985561497 study reports mean and se exact sample size provided 10.000000 6.666667 20 20 7.2280091 6.2089749 0.9855615 1.3883690 1.388368984 study reports mean and se exact sample size provided NA NA NA NA
used species median of shoal NA NA KM Neurobehavioral anomalies in zebrafish after sequential exposures to DDT and chlorpyrifos in adulthood: Do multiple exposures interact? 10.1016/j.ntt.2021.106985 https://www.sciencedirect.com/science/article/pii/S0892036221000398 Neurotoxicology and Teratology hawkey_2021 hawkey_2021_exp_001 hawkey_2021_exp2_001 hawkey_2021_exp_001_assay_001 hawkey_2021_exp2_001_assay2_001 zebrafish Danio rerio labratory stock from wild population not_wild mixed chlorpyrifos not reported 2921-88-2 https://commonchemistry.cas.org/detail?cas_rn=2921-88-2&search=chlorpyrifos organophosphate NA NA 5 weeks DMSO solvent_used 28 celsius shoaling collective behaviour distance group movement NA NA fig3a hawkey_2021_fig3a 23.000000 15.333333 46 46 184.4213398 76.0345316 48.9472505 84.7791248 12.5 study reports mean and se exact sample size provided 23.500000 15.666667 47 47 167.6488638 61.7590761 41.3195012 71.5674754 10.43918919 study reports mean and se exact sample size provided NA NA NA NA
used species median of shoal NA NA KM Neurobehavioral anomalies in zebrafish after sequential exposures to DDT and chlorpyrifos in adulthood: Do multiple exposures interact? 10.1016/j.ntt.2021.106985 https://www.sciencedirect.com/science/article/pii/S0892036221000398 Neurotoxicology and Teratology hawkey_2021 hawkey_2021_exp_002 hawkey_2021_exp2_002 hawkey_2021_exp_002_assay_001 hawkey_2021_exp2_002_assay2_001 zebrafish Danio rerio labratory stock from wild population not_wild mixed DDT not reported 50-29-3 https://commonchemistry.cas.org/detail?cas_rn=50-29-3&search=DDT; https://commonchemistry.cas.org/detail?cas_rn=2921-88-2&search=chlorpyrifos organochlorine NA NA 5 weeks DMSO solvent_used 28 celsius shoaling collective behaviour distance group movement NA NA fig3a hawkey_2021_fig3a 23.000000 15.333333 46 46 184.4213398 76.0345316 48.9472505 84.7791248 12.5 study reports mean and se exact sample size provided 21.000000 14.000000 42 42 191.4803442 87.2189923 52.2567961 90.5114259 13.96621622 study reports mean and se exact sample size provided NA NA NA NA
used species median of shoal NA NA KM Neurobehavioral anomalies in zebrafish after sequential exposures to DDT and chlorpyrifos in adulthood: Do multiple exposures interact? 10.1016/j.ntt.2021.106985 https://www.sciencedirect.com/science/article/pii/S0892036221000398 Neurotoxicology and Teratology hawkey_2021 hawkey_2021_exp_003 hawkey_2021_exp2_003 hawkey_2021_exp_003_assay_001 hawkey_2021_exp2_003_assay2_001 zebrafish Danio rerio labratory stock from wild population not_wild mixed chlorpyrifos ; DDT not reported 2921-88-2 ; 50-29-3 https://commonchemistry.cas.org/detail?cas_rn=2921-88-2&search=chlorpyrifos organophosphate and organochlorine NA NA 5 weeks DMSO solvent_used 28 celsius shoaling collective behaviour distance group movement NA NA fig3a hawkey_2021_fig3a 23.000000 15.333333 46 46 184.4213398 76.0345316 48.9472505 84.7791248 12.5 study reports mean and se exact sample size provided 16.000000 10.666667 32 32 226.6114671 68.5836312 46.7058112 80.8968380 14.30067568 study reports mean and se exact sample size provided NA NA NA NA
used species median of shoal NA NA KM Neurobehavioral anomalies in zebrafish after sequential exposures to DDT and chlorpyrifos in adulthood: Do multiple exposures interact? 10.1016/j.ntt.2021.106985 https://www.sciencedirect.com/science/article/pii/S0892036221000398 Neurotoxicology and Teratology hawkey_2021 hawkey_2021_exp_001 hawkey_2021_exp2_004 hawkey_2021_exp_001_assay_002 hawkey_2021_exp2_004_assay2_001 zebrafish Danio rerio labratory stock from wild population not_wild mixed chlorpyrifos not reported 2921-88-2 https://commonchemistry.cas.org/detail?cas_rn=2921-88-2&search=chlorpyrifos organophosphate NA NA 5 weeks DMSO solvent_used 28 celsius shoaling collective behaviour change in position group movement NA NA fig3b hawkey_2021_fig3b 23.000000 15.333333 46 46 4.1697558 6.3808160 3.6839659 6.3808160 0.9408 study reports mean and se exact sample size provided 23.500000 15.666667 47 47 6.4433558 7.7551165 4.4774186 7.7551165 1.1312 study reports mean and se exact sample size provided NA NA NA NA
used species median of shoal NA NA KM Neurobehavioral anomalies in zebrafish after sequential exposures to DDT and chlorpyrifos in adulthood: Do multiple exposures interact? 10.1016/j.ntt.2021.106985 https://www.sciencedirect.com/science/article/pii/S0892036221000398 Neurotoxicology and Teratology hawkey_2021 hawkey_2021_exp_002 hawkey_2021_exp2_005 hawkey_2021_exp_002_assay_002 hawkey_2021_exp2_005_assay2_001 zebrafish Danio rerio labratory stock from wild population not_wild mixed DDT not reported 50-29-3 https://commonchemistry.cas.org/detail?cas_rn=50-29-3&search=DDT organochlorine NA NA 5 weeks DMSO solvent_used 28 celsius shoaling collective behaviour change in position group movement NA NA fig3b hawkey_2021_fig3b 23.000000 15.333333 46 46 4.1697558 6.3808160 3.6839659 6.3808160 0.9408 study reports mean and se exact sample size provided 21.000000 14.000000 42 42 6.7793558 8.0568568 4.6516285 8.0568568 1.2432 study reports mean and se exact sample size provided NA NA NA NA
used species median of shoal NA NA KM Neurobehavioral anomalies in zebrafish after sequential exposures to DDT and chlorpyrifos in adulthood: Do multiple exposures interact? 10.1016/j.ntt.2021.106985 https://www.sciencedirect.com/science/article/pii/S0892036221000398 Neurotoxicology and Teratology hawkey_2021 hawkey_2021_exp_003 hawkey_2021_exp2_006 hawkey_2021_exp_003_assay_002 hawkey_2021_exp2_006_assay2_001 zebrafish Danio rerio labratory stock from wild population not_wild mixed chlorpyrifos ; DDT not reported 2921-88-2 ; 50-29-3 https://commonchemistry.cas.org/detail?cas_rn=50-29-3&search=DDT; https://commonchemistry.cas.org/detail?cas_rn=2921-88-2&search=chlorpyrifos organophosphate and organochlorine NA NA 5 weeks DMSO solvent_used 28 celsius shoaling collective behaviour change in position group movement NA NA fig3b hawkey_2021_fig3b 23.000000 15.333333 46 46 4.1697558 6.3808160 3.6839659 6.3808160 0.9408 study reports mean and se exact sample size provided 16.000000 10.666667 32 32 2.3441558 9.1233745 5.2673827 9.1233745 1.6128 study reports mean and se exact sample size provided NA NA NA NA
used species median of shoal NA NA KM Neurobehavioral anomalies in zebrafish after sequential exposures to DDT and chlorpyrifos in adulthood: Do multiple exposures interact? 10.1016/j.ntt.2021.106985 https://www.sciencedirect.com/science/article/pii/S0892036221000398 Neurotoxicology and Teratology hawkey_2021 hawkey_2021_exp_004 hawkey_2021_exp2_007 hawkey_2021_exp_004_assay_001 hawkey_2021_exp2_007_assay2_001 zebrafish Danio rerio labratory stock from wild population not_wild mixed chlorpyrifos not reported 2921-88-2 https://commonchemistry.cas.org/detail?cas_rn=2921-88-2&search=chlorpyrifos organophosphate NA NA 5 weeks DMSO solvent_used 28 celsius shoaling collective behaviour change in position group movement NA NA fig3b hawkey_2021_fig3b 18.500000 12.333333 37 37 5.1429639 8.2206508 4.7461950 8.2206508 1.351466667 study reports mean and se exact sample size provided 17.500000 11.666667 35 35 7.3793195 7.7098352 4.4512754 7.7098352 1.3032 study reports mean and se exact sample size provided NA NA NA NA
used species median of shoal NA NA KM Neurobehavioral anomalies in zebrafish after sequential exposures to DDT and chlorpyrifos in adulthood: Do multiple exposures interact? 10.1016/j.ntt.2021.106985 https://www.sciencedirect.com/science/article/pii/S0892036221000398 Neurotoxicology and Teratology hawkey_2021 hawkey_2021_exp_005 hawkey_2021_exp2_008 hawkey_2021_exp_005_assay_001 hawkey_2021_exp2_008_assay2_001 zebrafish Danio rerio labratory stock from wild population not_wild mixed DDT not reported 50-29-3 https://commonchemistry.cas.org/detail?cas_rn=50-29-3&search=DDT organochlorine NA NA 5 weeks DMSO solvent_used 28 celsius shoaling collective behaviour change in position group movement NA NA fig3b hawkey_2021_fig3b 18.500000 12.333333 37 37 5.1429639 8.2206508 4.7461950 8.2206508 1.351466667 study reports mean and se exact sample size provided 19.500000 13.000000 39 39 0.9437639 10.5498833 6.0909780 10.5498833 1.689333333 study reports mean and se exact sample size provided NA NA NA NA
used species median of shoal NA NA KM Neurobehavioral anomalies in zebrafish after sequential exposures to DDT and chlorpyrifos in adulthood: Do multiple exposures interact? 10.1016/j.ntt.2021.106985 https://www.sciencedirect.com/science/article/pii/S0892036221000398 Neurotoxicology and Teratology hawkey_2021 hawkey_2021_exp_006 hawkey_2021_exp2_009 hawkey_2021_exp_006_assay_001 hawkey_2021_exp2_009_assay2_001 zebrafish Danio rerio labratory stock from wild population not_wild mixed chlorpyrifos ; DDT not reported 2921-88-2 ; 50-29-3 https://commonchemistry.cas.org/detail?cas_rn=50-29-3&search=DDT; https://commonchemistry.cas.org/detail?cas_rn=2921-88-2&search=chlorpyrifos organophosphate and organochlorine NA NA 5 weeks DMSO solvent_used 28 celsius shoaling collective behaviour change in position group movement NA NA fig3b hawkey_2021_fig3b 18.500000 12.333333 37 37 5.1429639 8.2206508 4.7461950 8.2206508 1.351466667 study reports mean and se exact sample size provided 11.500000 7.666667 23 23 2.1986972 6.1727680 3.5638493 6.1727680 1.287111111 study reports mean and se exact sample size provided NA NA NA NA
NA NA SN KM Exposure to a commercial glyphosate formulation (Roundup<ae>) alters normal gill and liver histology and affects male sexual activity of Jenynsia multidentata (Anablepidae, Cyprinodontiformes). 10.1007/s00244-011-9686-7 https://link.springer.com/article/10.1007/s00244-011-9686-7#article-info Archives of Environmental Contamination and Toxicology hued_2011 hued_2011_exp_001 hued_2011_exp2_001 hued_2011_exp_001_assay_001 hued_2011_exp2_001_assay_001 killifish Jenynsia multidentata wild collected wild male roundup commercial 38641-94-0 https://commonchemistry.cas.org/detail?cas_rn=38641-94-0&search=ROUNDUP organophosphate 0.5 mg/L 7 days not reported NA 21 celsius sexual activity courtship number of persecutions frequency of courting events count NA table2 hued_2011_table2 NA NA NA 9 74.0000000 40.0000000 NA NA not reported study does not seem to report sample size sample size is not provided NA NA NA 9 52.4000000 28.9000000 NA NA not reported study does not seem to report sample size exact sample size provided NA NA NA NA
NA NA SN KM Exposure to a commercial glyphosate formulation (Roundup<ae>) alters normal gill and liver histology and affects male sexual activity of Jenynsia multidentata (Anablepidae, Cyprinodontiformes). 10.1007/s00244-011-9686-7 https://link.springer.com/article/10.1007/s00244-011-9686-7#article-info Archives of Environmental Contamination and Toxicology hued_2011 hued_2011_exp_001 hued_2011_exp2_002 hued_2011_exp_001_assay_002 hued_2011_exp2_002_assay_001 killifish Jenynsia multidentata wild collected wild male roundup commercial 38641-94-0 https://commonchemistry.cas.org/detail?cas_rn=38641-94-0&search=ROUNDUP organophosphate 0.5 mg/L 28 days not reported NA 21 celsius sexual activity courtship number of persecutions frequency of courting events count NA table2 hued_2011_table2 NA NA NA 9 74.0000000 40.0000000 NA NA not reported study does not seem to report sample size sample size is not provided NA NA NA 9 56.1600000 29.8000000 NA NA not reported study does not seem to report sample size sample size is not provided NA NA NA NA
NA NA SN KM Exposure to a commercial glyphosate formulation (Roundup<ae>) alters normal gill and liver histology and affects male sexual activity of Jenynsia multidentata (Anablepidae, Cyprinodontiformes). 10.1007/s00244-011-9686-7 https://link.springer.com/article/10.1007/s00244-011-9686-7#article-info Archives of Environmental Contamination and Toxicology hued_2011 hued_2011_exp_001 hued_2011_exp2_001 hued_2011_exp_001_assay_003 hued_2011_exp2_001_assay_002 killifish Jenynsia multidentata wild collected wild male roundup commercial 38641-94-0 https://commonchemistry.cas.org/detail?cas_rn=38641-94-0&search=ROUNDUP organophosphate 0.5 mg/L 7 days not reported NA 21 celsius sexual activity courtship number of copulation attempts frequency of courting events count NA table2 hued_2011_table2 NA NA NA 9 30.0000000 28.0000000 NA NA not reported study does not seem to report sample size sample size is not provided NA NA NA 9 16.0000000 10.0000000 NA NA not reported study does not seem to report sample size sample size is not provided NA NA NA NA
NA NA SN KM Exposure to a commercial glyphosate formulation (Roundup<ae>) alters normal gill and liver histology and affects male sexual activity of Jenynsia multidentata (Anablepidae, Cyprinodontiformes). 10.1007/s00244-011-9686-7 https://link.springer.com/article/10.1007/s00244-011-9686-7#article-info Archives of Environmental Contamination and Toxicology hued_2011 hued_2011_exp_001 hued_2011_exp2_002 hued_2011_exp_001_assay_004 hued_2011_exp2_002_assay_002 killifish Jenynsia multidentata wild collected wild male roundup commercial 38641-94-0 https://commonchemistry.cas.org/detail?cas_rn=38641-94-0&search=ROUNDUP organophosphate 0.5 mg/L 28 days not reported NA 21 celsius sexual activity courtship number of copulation attempts frequency of courting events count NA table2 hued_2011_table2 NA NA NA 9 30.0000000 28.0000000 NA NA not reported study does not seem to report sample size sample size is not provided NA NA NA 9 19.0000000 9.8000000 NA NA not reported study does not seem to report sample size sample size is not provided NA NA NA NA
NA NA SN KM Exposure to a commercial glyphosate formulation (Roundup<ae>) alters normal gill and liver histology and affects male sexual activity of Jenynsia multidentata (Anablepidae, Cyprinodontiformes). 10.1007/s00244-011-9686-7 https://link.springer.com/article/10.1007/s00244-011-9686-7#article-info Archives of Environmental Contamination and Toxicology hued_2011 hued_2011_exp_001 hued_2011_exp2_001 hued_2011_exp_001_assay_005 hued_2011_exp2_001_assay_003 killifish Jenynsia multidentata wild collected wild male roundup commercial 38641-94-0 https://commonchemistry.cas.org/detail?cas_rn=38641-94-0&search=ROUNDUP organophosphate 0.5 mg/L 7 days not reported NA 21 celsius sexual activity courtship number of copulations frequency of courting events count NA table2 hued_2011_table2 NA NA NA 9 3.3100000 1.5000000 NA NA not reported study does not seem to report sample size sample size is not provided NA NA NA 9 1.4000000 0.8900000 NA NA not reported study does not seem to report sample size sample size is not provided NA NA NA NA
NA NA SN KM Exposure to a commercial glyphosate formulation (Roundup<ae>) alters normal gill and liver histology and affects male sexual activity of Jenynsia multidentata (Anablepidae, Cyprinodontiformes). 10.1007/s00244-011-9686-7 https://link.springer.com/article/10.1007/s00244-011-9686-7#article-info Archives of Environmental Contamination and Toxicology hued_2011 hued_2011_exp_001 hued_2011_exp2_002 hued_2011_exp_001_assay_006 hued_2011_exp2_002_assay_003 killifish Jenynsia multidentata wild collected wild male roundup commercial 38641-94-0 https://commonchemistry.cas.org/detail?cas_rn=38641-94-0&search=ROUNDUP organophosphate 0.5 mg/L 28 days not reported NA 21 celsius sexual activity courtship number of copulations frequency of courting events count NA table2 hued_2011_table2 NA NA NA 9 3.3100000 1.5000000 NA NA not reported study does not seem to report sample size sample size is not provided NA NA NA 9 1.3000000 0.8100000 NA NA not reported study does not seem to report sample size sample size is not provided NA NA NA NA
NA NA SN KM Exposure to a commercial glyphosate formulation (Roundup<ae>) alters normal gill and liver histology and affects male sexual activity of Jenynsia multidentata (Anablepidae, Cyprinodontiformes). 10.1007/s00244-011-9686-7 https://link.springer.com/article/10.1007/s00244-011-9686-7#article-info Archives of Environmental Contamination and Toxicology hued_2011 hued_2011_exp_001 hued_2011_exp2_001 hued_2011_exp_001_assay_007 hued_2011_exp2_001_assay_004 killifish Jenynsia multidentata wild collected wild male roundup commercial 38641-94-0 https://commonchemistry.cas.org/detail?cas_rn=38641-94-0&search=ROUNDUP organophosphate 0.5 mg/L 7 days not reported NA 21 celsius sexual activity courtship mating success frequency of courting success count NA table2 hued_2011_table2 NA NA NA 9 0.1700000 0.0300000 NA NA not reported study does not seem to report sample size sample size is not provided NA NA NA 9 0.1300000 0.0700000 NA NA not reported study does not seem to report sample size sample size is not provided NA NA NA NA
NA NA SN KM Exposure to a commercial glyphosate formulation (Roundup<ae>) alters normal gill and liver histology and affects male sexual activity of Jenynsia multidentata (Anablepidae, Cyprinodontiformes). 10.1007/s00244-011-9686-7 https://link.springer.com/article/10.1007/s00244-011-9686-7#article-info Archives of Environmental Contamination and Toxicology hued_2011 hued_2011_exp_001 hued_2011_exp2_002 hued_2011_exp_001_assay_008 hued_2011_exp2_002_assay_004 killifish Jenynsia multidentata wild collected wild male roundup commercial 38641-94-0 https://commonchemistry.cas.org/detail?cas_rn=38641-94-0&search=ROUNDUP organophosphate 0.5 mg/L 28 days not reported NA 21 celsius sexual activity courtship mating success frequency of courting success count NA table2 hued_2011_table2 NA NA NA 9 0.1700000 0.0300000 NA NA not reported study does not seem to report sample size sample size is not provided NA NA NA 9 0.1100000 0.0700000 NA NA not reported study does not seem to report sample size sample size is not provided NA NA NA NA
NA NA NA KM Waterborne Exposure of Paclobutrazol at Environmental Relevant Concentration Induce Locomotion Hyperactivity in Larvae and Anxiolytic Exploratory Behavior in Adult Zebrafish 10.3390/ijerph17134632<a0> https://www.mdpi.com/1660-4601/17/13/4632 Environmental Research and Public Health hussian_2020 hussian_2020_exp_001 hussian_2020_exp2_001 hussian_2020_exp_001_assay_001 hussian_2020_exp2_001_assay2_001 zebrafish Danio rerio laboratory stock from not specified source not_wild mixed paclobutrazol not reported 76738-62-0 https://commonchemistry.cas.org/detail?cas_rn=76738-62-0&search=paclobutrazol triazole 100 ug/L 14 days not reported NA 26.5 celsius aggression aggression mirror biting time frequency of aggressive behaviour count NA fig6a hussian_2020_fig6a NA NA NA 30 35.9972400 92.5622300 NA NA 16.89947 study reports mean and se exact sample size provided NA NA NA NA 18.1328600 196.3489900 NA NA 35.84826 study reports mean and se sample size is not provided NA NA NA NA
NA NA NA KM Waterborne Exposure of Paclobutrazol at Environmental Relevant Concentration Induce Locomotion Hyperactivity in Larvae and Anxiolytic Exploratory Behavior in Adult Zebrafish 10.3390/ijerph17134632<a0> https://www.mdpi.com/1660-4601/17/13/4633 Environmental Research and Public Health hussian_2020 hussian_2020_exp_002 hussian_2020_exp2_002 hussian_2020_exp_002_assay_001 hussian_2020_exp2_002_assay2_001 zebrafish Danio rerio laboratory stock from not specified source not_wild mixed paclobutrazol not reported 76738-62-0 https://commonchemistry.cas.org/detail?cas_rn=76738-62-0&search=paclobutrazol triazole 1000 ug/L 14 days not reported NA 26.5 celsius aggression aggression mirror biting time frequency of aggressive behaviour count NA fig6a hussian_2020_fig6a NA NA NA 30 35.9972400 92.5622300 NA NA 16.89947 study reports mean and se exact sample size provided NA NA NA NA 16.0956800 96.7800100 NA NA 17.66953 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Waterborne Exposure of Paclobutrazol at Environmental Relevant Concentration Induce Locomotion Hyperactivity in Larvae and Anxiolytic Exploratory Behavior in Adult Zebrafish 10.3390/ijerph17134632<a0> https://www.mdpi.com/1660-4601/17/13/4634 Environmental Research and Public Health hussian_2020 hussian_2020_exp_001 hussian_2020_exp2_001 hussian_2020_exp_001_assay_002 hussian_2020_exp2_001_assay2_002 zebrafish Danio rerio laboratory stock from not specified source not_wild mixed paclobutrazol not reported 76738-62-0 https://commonchemistry.cas.org/detail?cas_rn=76738-62-0&search=paclobutrazol triazole 100 ug/L 14 days not reported NA 26.5 celsius aggression aggression duration of stay on mirror side time spent in aggression zone zone NA fig6f hussian_2020_fig6f NA NA NA 30 7.6879031 54.6897674 NA NA 9.984939759 study reports mean and se exact sample size provided NA NA NA NA 1.4853408 64.7258484 NA NA 11.81726908 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Waterborne Exposure of Paclobutrazol at Environmental Relevant Concentration Induce Locomotion Hyperactivity in Larvae and Anxiolytic Exploratory Behavior in Adult Zebrafish 10.3390/ijerph17134632<a0> https://www.mdpi.com/1660-4601/17/13/4635 Environmental Research and Public Health hussian_2020 hussian_2020_exp_002 hussian_2020_exp2_002 hussian_2020_exp_002_assay_002 hussian_2020_exp2_002_assay2_002 zebrafish Danio rerio laboratory stock from not specified source not_wild mixed paclobutrazol not reported 76738-62-0 https://commonchemistry.cas.org/detail?cas_rn=76738-62-0&search=paclobutrazol triazole 1000 ug/L 14 days not reported NA 26.5 celsius aggression aggression duration of stay on mirror side time spent in aggression zone zone NA fig6f hussian_2020_fig6f NA NA NA 30 7.6879031 54.6897674 NA NA 9.984939759 study reports mean and se exact sample size provided NA NA NA NA 1.4488098 28.3897360 NA NA 5.183232932 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Waterborne Exposure of Paclobutrazol at Environmental Relevant Concentration Induce Locomotion Hyperactivity in Larvae and Anxiolytic Exploratory Behavior in Adult Zebrafish 10.3390/ijerph17134632<a0> https://www.mdpi.com/1660-4601/17/13/4635 Environmental Research and Public Health hussian_2020 hussian_2020_exp_001 hussian_2020_exp2_003 hussian_2020_exp_001_assay_003 hussian_2020_exp2_003_assay2_001 zebrafish Danio rerio laboratory stock from not specified source not_wild mixed paclobutrazol not reported 76738-62-0 https://commonchemistry.cas.org/detail?cas_rn=76738-62-0&search=paclobutrazol triazole 100 ug/L 14 days not reported NA 26.5 celsius social interaction sociality interaction time percentage time spent in social zone zone NA fig8a hussian_2020_fig8a NA NA NA 30 81.5410522 61.7080349 NA NA 11.26629423 study reports mean and se exact sample size provided NA NA NA 30 69.9260687 90.4902433 NA NA 16.5211825 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Waterborne Exposure of Paclobutrazol at Environmental Relevant Concentration Induce Locomotion Hyperactivity in Larvae and Anxiolytic Exploratory Behavior in Adult Zebrafish 10.3390/ijerph17134632<a0> https://www.mdpi.com/1660-4601/17/13/4635 Environmental Research and Public Health hussian_2020 hussian_2020_exp_002 hussian_2020_exp2_004 hussian_2020_exp_002_assay_003 hussian_2020_exp2_004_assay2_001 zebrafish Danio rerio laboratory stock from not specified source not_wild mixed paclobutrazol not reported 76738-62-0 https://commonchemistry.cas.org/detail?cas_rn=76738-62-0&search=paclobutrazol triazole 1000 ug/L 14 days not reported NA 26.5 celsius social interaction sociality interaction time percentage time spent in social zone zone NA fig8a hussian_2020_fig8a NA NA NA 30 81.5410522 61.7080349 NA NA 11.26629423 study reports mean and se exact sample size provided NA NA NA 30 60.9047814 188.3561267 NA NA 34.38896648 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Waterborne Exposure of Paclobutrazol at Environmental Relevant Concentration Induce Locomotion Hyperactivity in Larvae and Anxiolytic Exploratory Behavior in Adult Zebrafish 10.3390/ijerph17134632<a0> https://www.mdpi.com/1660-4601/17/13/4635 Environmental Research and Public Health hussian_2020 hussian_2020_exp_001 hussian_2020_exp2_003 hussian_2020_exp_001_assay_004 hussian_2020_exp2_003_assay2_002 zebrafish Danio rerio laboratory stock from not specified source not_wild mixed paclobutrazol not reported 76738-62-0 https://commonchemistry.cas.org/detail?cas_rn=76738-62-0&search=paclobutrazol triazole 100 ug/L 14 days not reported NA 26.5 celsius social interaction sociality longest duration of stay in seperator side time spent in social zone zone NA fig8b hussian_2020_fig8b NA NA NA 30 13.1883201 100.5626276 NA NA 18.36013986 study reports mean and se exact sample size provided NA NA NA 30 12.2685210 103.4161472 NA NA 18.88111888 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Waterborne Exposure of Paclobutrazol at Environmental Relevant Concentration Induce Locomotion Hyperactivity in Larvae and Anxiolytic Exploratory Behavior in Adult Zebrafish 10.3390/ijerph17134632<a0> https://www.mdpi.com/1660-4601/17/13/4635 Environmental Research and Public Health hussian_2020 hussian_2020_exp_002 hussian_2020_exp2_004 hussian_2020_exp_002_assay_004 hussian_2020_exp2_004_assay2_002 zebrafish Danio rerio laboratory stock from not specified source not_wild mixed paclobutrazol not reported 76738-62-0 https://commonchemistry.cas.org/detail?cas_rn=76738-62-0&search=paclobutrazol triazole 1000 ug/L 14 days not reported NA 26.5 celsius social interaction sociality longest duration of stay in seperator side time spent in social zone zone NA fig8b hussian_2020_fig8b NA NA NA 30 13.1883201 100.5626276 NA NA 18.36013986 study reports mean and se exact sample size provided NA NA NA 30 8.9571015 69.3526558 NA NA 12.66200466 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Waterborne Exposure of Paclobutrazol at Environmental Relevant Concentration Induce Locomotion Hyperactivity in Larvae and Anxiolytic Exploratory Behavior in Adult Zebrafish 10.3390/ijerph17134632<a0> https://www.mdpi.com/1660-4601/17/13/4635 Environmental Research and Public Health hussian_2020 hussian_2020_exp_001 hussian_2020_exp2_003 hussian_2020_exp_001_assay_006 hussian_2020_exp2_003_assay2_003 zebrafish Danio rerio laboratory stock from not specified source not_wild mixed paclobutrazol not reported 76738-62-0 https://commonchemistry.cas.org/detail?cas_rn=76738-62-0&search=paclobutrazol triazole 100 ug/L 14 days not reported NA 26.5 celsius social interaction sociality average distance to seperator distance from social zone zone change fig8c hussian_2020_fig8c NA NA NA 30 2.2370159 8.1965795 NA NA 1.496483826 study reports mean and se exact sample size provided NA NA NA 30 3.2841125 8.7789680 NA NA 1.60281294 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Waterborne Exposure of Paclobutrazol at Environmental Relevant Concentration Induce Locomotion Hyperactivity in Larvae and Anxiolytic Exploratory Behavior in Adult Zebrafish 10.3390/ijerph17134632<a0> https://www.mdpi.com/1660-4601/17/13/4635 Environmental Research and Public Health hussian_2020 hussian_2020_exp_002 hussian_2020_exp2_004 hussian_2020_exp_002_assay_006 hussian_2020_exp2_004_assay2_003 zebrafish Danio rerio laboratory stock from not specified source not_wild mixed paclobutrazol not reported 76738-62-0 https://commonchemistry.cas.org/detail?cas_rn=76738-62-0&search=paclobutrazol triazole 1000 ug/L 14 days not reported NA 26.5 celsius social interaction sociality average distance to seperator distance from social zone zone change fig8c hussian_2020_fig8c NA NA NA 30 2.2370159 8.1965795 NA NA 1.496483826 study reports mean and se exact sample size provided NA NA NA 30 3.6411234 5.5326911 NA NA 1.010126582 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Waterborne Exposure of Paclobutrazol at Environmental Relevant Concentration Induce Locomotion Hyperactivity in Larvae and Anxiolytic Exploratory Behavior in Adult Zebrafish 10.3390/ijerph17134632<a0> https://www.mdpi.com/1660-4601/17/13/4635 Environmental Research and Public Health hussian_2020 hussian_2020_exp_001 hussian_2020_exp2_003 hussian_2020_exp_001_assay_007 hussian_2020_exp2_003_assay2_004 zebrafish Danio rerio laboratory stock from not specified source not_wild mixed paclobutrazol not reported 76738-62-0 https://commonchemistry.cas.org/detail?cas_rn=76738-62-0&search=paclobutrazol triazole 100 ug/L 14 days not reported NA 26.5 celsius shoaling collective behaviour average speed group movement NA NA fig9a hussian_2020_fig9a 15.000000 10.000000 30 30 4.2971430 5.1144954 2.9528553 5.1144954 0.933774834 study reports mean and se exact sample size provided 15.000000 10.000000 30 30 2.7982062 4.6908266 2.7082500 4.6908266 0.856423841 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Waterborne Exposure of Paclobutrazol at Environmental Relevant Concentration Induce Locomotion Hyperactivity in Larvae and Anxiolytic Exploratory Behavior in Adult Zebrafish 10.3390/ijerph17134632<a0> https://www.mdpi.com/1660-4601/17/13/4635 Environmental Research and Public Health hussian_2020 hussian_2020_exp_002 hussian_2020_exp2_004 hussian_2020_exp_002_assay_007 hussian_2020_exp2_004_assay2_004 zebrafish Danio rerio laboratory stock from not specified source not_wild mixed paclobutrazol not reported 76738-62-0 https://commonchemistry.cas.org/detail?cas_rn=76738-62-0&search=paclobutrazol triazole 1000 ug/L 14 days not reported NA 26.5 celsius shoaling collective behaviour average speed group movement NA NA fig9a hussian_2020_fig9a 15.000000 10.000000 30 30 4.2971430 5.1144954 2.9528553 5.1144954 0.933774834 study reports mean and se exact sample size provided 15.000000 10.000000 30 30 2.8712296 2.4908681 1.4381034 2.4908681 0.454768212 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Waterborne Exposure of Paclobutrazol at Environmental Relevant Concentration Induce Locomotion Hyperactivity in Larvae and Anxiolytic Exploratory Behavior in Adult Zebrafish 10.3390/ijerph17134632<a0> https://www.mdpi.com/1660-4601/17/13/4635 Environmental Research and Public Health hussian_2020 hussian_2020_exp_001 hussian_2020_exp2_005 hussian_2020_exp_001_assay_008 hussian_2020_exp2_005_assay2_001 zebrafish Danio rerio laboratory stock from not specified source not_wild mixed paclobutrazol not reported 76738-62-0 https://commonchemistry.cas.org/detail?cas_rn=76738-62-0&search=paclobutrazol triazole 100 ug/L 14 days not reported NA 26.5 celsius shoaling collective behaviour time in top group movement NA NA fig9b hussian_2020_fig9b 15.000000 10.000000 30 30 33.5594914 62.1723871 35.8952444 62.1723871 11.35107296 study reports mean and se exact sample size provided 15.000000 10.000000 30 30 7.0652319 93.0282081 53.7098610 93.0282081 16.98454936 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Waterborne Exposure of Paclobutrazol at Environmental Relevant Concentration Induce Locomotion Hyperactivity in Larvae and Anxiolytic Exploratory Behavior in Adult Zebrafish 10.3390/ijerph17134632<a0> https://www.mdpi.com/1660-4601/17/13/4635 Environmental Research and Public Health hussian_2020 hussian_2020_exp_002 hussian_2020_exp2_006 hussian_2020_exp_002_assay_008 hussian_2020_exp2_006_assay2_001 zebrafish Danio rerio laboratory stock from not specified source not_wild mixed paclobutrazol not reported 76738-62-0 https://commonchemistry.cas.org/detail?cas_rn=76738-62-0&search=paclobutrazol triazole 1000 ug/L 14 days not reported NA 26.5 celsius shoaling collective behaviour time in top group movement NA NA fig9b hussian_2020_fig9b 15.000000 10.000000 30 30 33.5594914 62.1723871 35.8952444 62.1723871 11.35107296 study reports mean and se exact sample size provided 15.000000 10.000000 30 30 26.2600044 91.1711231 52.6376724 91.1711231 16.64549356 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Waterborne Exposure of Paclobutrazol at Environmental Relevant Concentration Induce Locomotion Hyperactivity in Larvae and Anxiolytic Exploratory Behavior in Adult Zebrafish 10.3390/ijerph17134632<a0> https://www.mdpi.com/1660-4601/17/13/4635 Environmental Research and Public Health hussian_2020 hussian_2020_exp_001 hussian_2020_exp2_005 hussian_2020_exp_001_assay_009 hussian_2020_exp2_005_assay2_002 zebrafish Danio rerio laboratory stock from not specified source not_wild mixed paclobutrazol not reported 76738-62-0 https://commonchemistry.cas.org/detail?cas_rn=76738-62-0&search=paclobutrazol triazole 100 ug/L 14 days not reported NA 26.5 celsius shoaling collective behaviour distance between individuals group arrangment NA change fig9c hussian_2020_fig9c 15.000000 10.000000 30 30 4.8245342 4.5187111 2.6088791 4.5187111 0.825 study reports mean and se exact sample size provided 15.000000 10.000000 30 30 4.9235806 3.5976724 2.0771171 3.5976724 0.656842105 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Waterborne Exposure of Paclobutrazol at Environmental Relevant Concentration Induce Locomotion Hyperactivity in Larvae and Anxiolytic Exploratory Behavior in Adult Zebrafish 10.3390/ijerph17134632<a0> https://www.mdpi.com/1660-4601/17/13/4635 Environmental Research and Public Health hussian_2020 hussian_2020_exp_002 hussian_2020_exp2_006 hussian_2020_exp_002_assay_009 hussian_2020_exp2_006_assay2_002 zebrafish Danio rerio laboratory stock from not specified source not_wild mixed paclobutrazol not reported 76738-62-0 https://commonchemistry.cas.org/detail?cas_rn=76738-62-0&search=paclobutrazol triazole 1000 ug/L 14 days not reported NA 26.5 celsius shoaling collective behaviour distance between individuals group arrangment NA change fig9c hussian_2020_fig9c 15.000000 10.000000 30 30 4.8245342 4.5187111 2.6088791 4.5187111 0.825 study reports mean and se exact sample size provided 15.000000 10.000000 30 30 4.6594483 5.1745368 2.9875202 5.1745368 0.944736842 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Waterborne Exposure of Paclobutrazol at Environmental Relevant Concentration Induce Locomotion Hyperactivity in Larvae and Anxiolytic Exploratory Behavior in Adult Zebrafish 10.3390/ijerph17134632<a0> https://www.mdpi.com/1660-4601/17/13/4635 Environmental Research and Public Health hussian_2020 hussian_2020_exp_001 hussian_2020_exp2_005 hussian_2020_exp_001_assay_010 hussian_2020_exp2_005_assay2_003 zebrafish Danio rerio laboratory stock from not specified source not_wild mixed paclobutrazol not reported 76738-62-0 https://commonchemistry.cas.org/detail?cas_rn=76738-62-0&search=paclobutrazol triazole 100 ug/L 14 days not reported NA 26.5 celsius shoaling collective behaviour average shoal area group arrangment NA change fig9d hussian_2020_fig9d 15.000000 10.000000 30 30 4.1354624 4.5613382 2.6334898 4.5613382 0.832782609 study reports mean and se exact sample size provided 15.000000 10.000000 30 30 4.5206079 1.1537895 0.6661407 1.1537895 0.210652174 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Waterborne Exposure of Paclobutrazol at Environmental Relevant Concentration Induce Locomotion Hyperactivity in Larvae and Anxiolytic Exploratory Behavior in Adult Zebrafish 10.3390/ijerph17134632<a0> https://www.mdpi.com/1660-4601/17/13/4635 Environmental Research and Public Health hussian_2020 hussian_2020_exp_002 hussian_2020_exp2_006 hussian_2020_exp_002_assay_010 hussian_2020_exp2_006_assay2_003 zebrafish Danio rerio laboratory stock from not specified source not_wild mixed paclobutrazol not reported 76738-62-0 https://commonchemistry.cas.org/detail?cas_rn=76738-62-0&search=paclobutrazol triazole 1000 ug/L 14 days not reported NA 26.5 celsius shoaling collective behaviour average shoal area group arrangment NA change fig9d hussian_2020_fig9d 15.000000 10.000000 30 30 4.1354624 4.5613382 2.6334898 4.5613382 0.832782609 study reports mean and se exact sample size provided 15.000000 10.000000 30 30 4.6947100 1.7086562 0.9864931 1.7086562 0.311956522 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Waterborne Exposure of Paclobutrazol at Environmental Relevant Concentration Induce Locomotion Hyperactivity in Larvae and Anxiolytic Exploratory Behavior in Adult Zebrafish 10.3390/ijerph17134632<a0> https://www.mdpi.com/1660-4601/17/13/4635 Environmental Research and Public Health hussian_2020 hussian_2020_exp_001 hussian_2020_exp2_005 hussian_2020_exp_001_assay_011 hussian_2020_exp2_005_assay2_004 zebrafish Danio rerio laboratory stock from not specified source not_wild mixed paclobutrazol not reported 76738-62-0 https://commonchemistry.cas.org/detail?cas_rn=76738-62-0&search=paclobutrazol triazole 100 ug/L 14 days not reported NA 26.5 celsius shoaling collective behaviour average nearest neighbor distance group arrangment NA change fig9e hussian_2020_fig9e 15.000000 10.000000 30 30 3.0067802 4.0631055 2.3458351 4.0631055 0.741818182 study reports mean and se exact sample size provided 15.000000 10.000000 30 30 3.2103035 2.7722823 1.6005779 2.7722823 0.506147186 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Waterborne Exposure of Paclobutrazol at Environmental Relevant Concentration Induce Locomotion Hyperactivity in Larvae and Anxiolytic Exploratory Behavior in Adult Zebrafish 10.3390/ijerph17134632<a0> https://www.mdpi.com/1660-4601/17/13/4635 Environmental Research and Public Health hussian_2020 hussian_2020_exp_002 hussian_2020_exp2_006 hussian_2020_exp_002_assay_011 hussian_2020_exp2_006_assay2_004 zebrafish Danio rerio laboratory stock from not specified source not_wild mixed paclobutrazol not reported 76738-62-0 https://commonchemistry.cas.org/detail?cas_rn=76738-62-0&search=paclobutrazol triazole 1000 ug/L 14 days not reported NA 26.5 celsius shoaling collective behaviour average nearest neighbor distance group arrangment NA change fig9e hussian_2020_fig9e 15.000000 10.000000 30 30 3.0067802 4.0631055 2.3458351 4.0631055 0.741818182 study reports mean and se exact sample size provided 15.000000 10.000000 30 30 3.0050537 4.0687961 2.3491205 4.0687961 0.742857143 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Waterborne Exposure of Paclobutrazol at Environmental Relevant Concentration Induce Locomotion Hyperactivity in Larvae and Anxiolytic Exploratory Behavior in Adult Zebrafish 10.3390/ijerph17134632<a0> https://www.mdpi.com/1660-4601/17/13/4635 Environmental Research and Public Health hussian_2020 hussian_2020_exp_001 hussian_2020_exp2_005 hussian_2020_exp_001_assay_012 hussian_2020_exp2_005_assay2_005 zebrafish Danio rerio laboratory stock from not specified source not_wild mixed paclobutrazol not reported 76738-62-0 https://commonchemistry.cas.org/detail?cas_rn=76738-62-0&search=paclobutrazol triazole 100 ug/L 14 days not reported NA 26.5 celsius shoaling collective behaviour average farthest neighbor distance group arrangment NA change fig9f hussian_2020_fig9f 15.000000 10.000000 30 30 5.0477878 6.2732733 3.6218760 6.2732733 1.145337763 study reports mean and se exact sample size provided 15.000000 10.000000 30 30 3.8698030 3.1553187 1.8217241 3.1553187 0.576079734 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Waterborne Exposure of Paclobutrazol at Environmental Relevant Concentration Induce Locomotion Hyperactivity in Larvae and Anxiolytic Exploratory Behavior in Adult Zebrafish 10.3390/ijerph17134632<a0> https://www.mdpi.com/1660-4601/17/13/4635 Environmental Research and Public Health hussian_2020 hussian_2020_exp_002 hussian_2020_exp2_006 hussian_2020_exp_002_assay_012 hussian_2020_exp2_006_assay2_005 zebrafish Danio rerio laboratory stock from not specified source not_wild mixed paclobutrazol not reported 76738-62-0 https://commonchemistry.cas.org/detail?cas_rn=76738-62-0&search=paclobutrazol triazole 1000 ug/L 14 days not reported NA 26.5 celsius shoaling collective behaviour average farthest neighbor distance group arrangment NA change fig9f hussian_2020_fig9f 15.000000 10.000000 30 30 5.0477878 6.2732733 3.6218760 6.2732733 1.145337763 study reports mean and se exact sample size provided 15.000000 10.000000 30 30 4.6385098 6.0769909 3.5085523 6.0769909 1.109501661 study reports mean and se exact sample size provided NA NA NA NA
does not report error type, so used a conservative estimate using SE NA NA KM Acute mancozeb-fungicide exposure induces neuro-ethology disruption, health disorders, and immune-oxidative dysfunction in Nile tilapia (Oreochromis niloticus) 10.1016/j.aquatox.2023.106630 https://www.sciencedirect.com/science/article/pii/S0166445X23002333?via%3Dihub Acute mancozeb-fungicide exposure induces neuro-ethology disruption, health disorders, and immune-oxidative dysfunction in Nile tilapia (Oreochromis niloticus) ibrahim_2023 ibrahim_2023_exp_001 ibrahim_2023_exp2_001 ibrahim_2023_exp_001_assay_001 ibrahim_2023_exp2_001_assay2_001 Nile tilapia Oreochromis niloticus commercial supplier not_wild not reported mancozeb analytical NA NA dithiocarbamate 4 mg/L 96 hours not reported NA 23 celsius aggression aggression number of chases frequency of aggressive behaviour count NA table1 ibrahim_2023_table1 NA NA NA 10 -0.2000000 0.0316228 NA NA 0.01 study does not state error type used, so we assumed to be SE exact sample size provided NA NA NA 10 1.2000000 0.4110961 NA NA 0.13 study does not state error type used, so we assumed to be SE exact sample size provided NA NA NA NA
does not report error type, so used a conservative estimate using SE NA NA KM Acute mancozeb-fungicide exposure induces neuro-ethology disruption, health disorders, and immune-oxidative dysfunction in Nile tilapia (Oreochromis niloticus) 10.1016/j.aquatox.2023.106630 https://www.sciencedirect.com/science/article/pii/S0166445X23002333?via%3Dihub Acute mancozeb-fungicide exposure induces neuro-ethology disruption, health disorders, and immune-oxidative dysfunction in Nile tilapia (Oreochromis niloticus) ibrahim_2023 ibrahim_2023_exp_002 ibrahim_2023_exp2_002 ibrahim_2023_exp_001_assay_002 ibrahim_2023_exp2_002_assay2_001 Nile tilapia Oreochromis niloticus commercial supplier not_wild not reported mancozeb analytical NA NA dithiocarbamate 8 mg/L 96 hours not reported NA 23 celsius aggression aggression number of chases frequency of aggressive behaviour count NA table1 ibrahim_2023_table1 NA NA NA 10 -0.2000000 0.0316228 NA NA 0.01 study does not state error type used, so we assumed to be SE exact sample size provided NA NA NA 10 1.6000000 0.2846050 NA NA 0.09 study does not state error type used, so we assumed to be SE exact sample size provided NA NA NA NA
does not report error type, so used a conservative estimate using SE NA NA KM Acute mancozeb-fungicide exposure induces neuro-ethology disruption, health disorders, and immune-oxidative dysfunction in Nile tilapia (Oreochromis niloticus) 10.1016/j.aquatox.2023.106630 https://www.sciencedirect.com/science/article/pii/S0166445X23002333?via%3Dihub Acute mancozeb-fungicide exposure induces neuro-ethology disruption, health disorders, and immune-oxidative dysfunction in Nile tilapia (Oreochromis niloticus) ibrahim_2023 ibrahim_2023_exp_003 ibrahim_2023_exp2_003 ibrahim_2023_exp_001_assay_003 ibrahim_2023_exp2_003_assay2_001 Nile tilapia Oreochromis niloticus commercial supplier not_wild not reported mancozeb analytical NA NA dithiocarbamate 12 mg/L 96 hours not reported NA 23 celsius aggression aggression number of chases frequency of aggressive behaviour count NA table1 ibrahim_2023_table1 NA NA NA 10 -0.2000000 0.0316228 NA NA 0.01 study does not state error type used, so we assumed to be SE exact sample size provided NA NA NA 10 1.9000000 0.2213594 NA NA 0.07 study does not state error type used, so we assumed to be SE exact sample size provided NA NA NA NA
does not report error type, so used a conservative estimate using SE NA NA KM Acute mancozeb-fungicide exposure induces neuro-ethology disruption, health disorders, and immune-oxidative dysfunction in Nile tilapia (Oreochromis niloticus) 10.1016/j.aquatox.2023.106630 https://www.sciencedirect.com/science/article/pii/S0166445X23002333?via%3Dihub Acute mancozeb-fungicide exposure induces neuro-ethology disruption, health disorders, and immune-oxidative dysfunction in Nile tilapia (Oreochromis niloticus) ibrahim_2023 ibrahim_2023_exp_004 ibrahim_2023_exp2_004 ibrahim_2023_exp_001_assay_004 ibrahim_2023_exp2_004_assay2_001 Nile tilapia Oreochromis niloticus commercial supplier not_wild not reported mancozeb analytical NA NA dithiocarbamate 16 mg/L 96 hours not reported NA 23 celsius aggression aggression number of chases frequency of aggressive behaviour count NA table1 ibrahim_2023_table1 NA NA NA 10 -0.2000000 0.0316228 NA NA 0.01 study does not state error type used, so we assumed to be SE exact sample size provided NA NA NA 10 1.9600000 0.3478505 NA NA 0.11 study does not state error type used, so we assumed to be SE exact sample size provided NA NA NA NA
does not report error type, so used a conservative estimate using SE NA NA KM Acute mancozeb-fungicide exposure induces neuro-ethology disruption, health disorders, and immune-oxidative dysfunction in Nile tilapia (Oreochromis niloticus) 10.1016/j.aquatox.2023.106630 https://www.sciencedirect.com/science/article/pii/S0166445X23002333?via%3Dihub Acute mancozeb-fungicide exposure induces neuro-ethology disruption, health disorders, and immune-oxidative dysfunction in Nile tilapia (Oreochromis niloticus) ibrahim_2023 ibrahim_2023_exp_005 ibrahim_2023_exp2_005 ibrahim_2023_exp_001_assay_005 ibrahim_2023_exp2_005_assay2_001 Nile tilapia Oreochromis niloticus commercial supplier not_wild not reported mancozeb analytical NA NA dithiocarbamate 20 mg/L 96 hours not reported NA 23 celsius aggression aggression number of chases frequency of aggressive behaviour count NA table1 ibrahim_2023_table1 NA NA NA 10 -0.2000000 0.0316228 NA NA 0.01 study does not state error type used, so we assumed to be SE exact sample size provided NA NA NA 10 2.1100000 0.4743416 NA NA 0.15 study does not state error type used, so we assumed to be SE exact sample size provided NA NA NA NA
NA NA NA KM The Possible Role of<a0>Bifidobacterium longum<a0>BB536 and<a0>Lactobacillus rhamnosus<a0>HN001 on Locomotor Activity and Oxidative Stress in a Rotenone-Induced Zebrafish Model of Parkinson’s Disease 10.1155/2021/9629102 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8531778/ Oxidative Medicine and Cellular Longevity ilie_2021 ilie_2021_exp_001 ilie_2021_exp2_001 ilie_2021_exp_001_assay_001 ilie_2021_exp2_001_assay2_001 zebrafish Danio rerio commercial supplier not_wild not reported rotenone commercial 83-79-4 https://commonchemistry.cas.org/detail?cas_rn=83-79-4&search=rotenone rotenones 2 ug/L 1 days none none 26 celsius social interaction sociality time spent in the left arm time spent in social zone zone NA fig5 ilie_2021_fig5 NA NA NA 15 140.5891426 112.8291361 NA NA 29.13235767 study reports mean and se exact sample size provided (section 2.4. Design Protocol) NA NA NA 15 102.8164520 66.1634655 NA NA 17.08333333 study reports mean and se exact sample size provided (section 2.4. Design Protocol) NA NA NA NA
NA NA NA KM The Possible Role of<a0>Bifidobacterium longum<a0>BB536 and<a0>Lactobacillus rhamnosus<a0>HN001 on Locomotor Activity and Oxidative Stress in a Rotenone-Induced Zebrafish Model of Parkinson’s Disease 10.1155/2021/9629102 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8531778/ Oxidative Medicine and Cellular Longevity ilie_2021 ilie_2021_exp_001 ilie_2021_exp2_001 ilie_2021_exp_001_assay_002 ilie_2021_exp2_001_assay2_002 zebrafish Danio rerio commercial supplier not_wild not reported rotenone commercial 83-79-4 https://commonchemistry.cas.org/detail?cas_rn=83-79-4&search=rotenone rotenones 2 ug/L 2 days none none 26 celsius social interaction sociality time spent in the left arm time spent in social zone zone NA fig5 ilie_2021_fig5 NA NA NA 15 127.9395662 132.1288567 NA NA 34.11552412 study reports mean and se exact sample size provided (section 2.4. Design Protocol) NA NA NA 15 145.3694823 85.4110191 NA NA 22.0530303 study reports mean and se exact sample size provided (section 2.4. Design Protocol) NA NA NA NA
NA NA NA KM The Possible Role of<a0>Bifidobacterium longum<a0>BB536 and<a0>Lactobacillus rhamnosus<a0>HN001 on Locomotor Activity and Oxidative Stress in a Rotenone-Induced Zebrafish Model of Parkinson’s Disease 10.1155/2021/9629102 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8531778/ Oxidative Medicine and Cellular Longevity ilie_2021 ilie_2021_exp_001 ilie_2021_exp2_001 ilie_2021_exp_001_assay_003 ilie_2021_exp2_001_assay2_003 zebrafish Danio rerio commercial supplier not_wild not reported rotenone commercial 83-79-4 https://commonchemistry.cas.org/detail?cas_rn=83-79-4&search=rotenone rotenones 2 ug/L 3 days none none 26 celsius social interaction sociality time spent in the left arm time spent in social zone zone NA fig5 ilie_2021_fig5 NA NA NA 15 128.7062072 102.4369788 NA NA 26.4491142 study reports mean and se exact sample size provided (section 2.4. Design Protocol) NA NA NA 15 133.2558459 97.4407401 NA NA 25.15909091 study reports mean and se exact sample size provided (section 2.4. Design Protocol) NA NA NA NA
NA NA NA KM The Possible Role of<a0>Bifidobacterium longum<a0>BB536 and<a0>Lactobacillus rhamnosus<a0>HN001 on Locomotor Activity and Oxidative Stress in a Rotenone-Induced Zebrafish Model of Parkinson’s Disease 10.1155/2021/9629102 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8531778/ Oxidative Medicine and Cellular Longevity ilie_2021 ilie_2021_exp_001 ilie_2021_exp2_001 ilie_2021_exp_001_assay_004 ilie_2021_exp2_001_assay2_004 zebrafish Danio rerio commercial supplier not_wild not reported rotenone commercial 83-79-4 https://commonchemistry.cas.org/detail?cas_rn=83-79-4&search=rotenone rotenones 2 ug/L 4 days none none 26 celsius social interaction sociality time spent in the left arm time spent in social zone zone NA fig5 ilie_2021_fig5 NA NA NA 15 98.4238880 59.3837558 NA NA 15.33281983 study reports mean and se exact sample size provided (section 2.4. Design Protocol) NA NA NA 15 167.7331186 34.8861909 NA NA 9.007575758 study reports mean and se exact sample size provided (section 2.4. Design Protocol) NA NA NA NA
NA NA NA KM The Possible Role of<a0>Bifidobacterium longum<a0>BB536 and<a0>Lactobacillus rhamnosus<a0>HN001 on Locomotor Activity and Oxidative Stress in a Rotenone-Induced Zebrafish Model of Parkinson’s Disease 10.1155/2021/9629103 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8531778/ Oxidative Medicine and Cellular Longevity ilie_2021 ilie_2021_exp_001 ilie_2021_exp2_001 ilie_2021_exp_001_assay_005 ilie_2021_exp2_001_assay2_005 zebrafish Danio rerio commercial supplier not_wild not reported rotenone commercial 83-79-4 https://commonchemistry.cas.org/detail?cas_rn=83-79-4&search=rotenone rotenones 2 ug/L 5 days none none 26 celsius social interaction sociality time spent in the left arm time spent in social zone zone NA fig5 ilie_2021_fig5 NA NA NA 15 154.7720009 65.3221314 NA NA 16.86610181 study reports mean and se exact sample size provided (section 2.4. Design Protocol) NA NA NA 15 136.0513004 39.6980793 NA NA 10.25 study reports mean and se exact sample size provided (section 2.4. Design Protocol) NA NA NA NA
NA NA NA KM The Possible Role of<a0>Bifidobacterium longum<a0>BB536 and<a0>Lactobacillus rhamnosus<a0>HN001 on Locomotor Activity and Oxidative Stress in a Rotenone-Induced Zebrafish Model of Parkinson’s Disease 10.1155/2021/9629102 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8531778/ Oxidative Medicine and Cellular Longevity ilie_2021 ilie_2021_exp_001 ilie_2021_exp2_001 ilie_2021_exp_001_assay_006 ilie_2021_exp2_001_assay2_006 zebrafish Danio rerio commercial supplier not_wild not reported rotenone commercial 83-79-4 https://commonchemistry.cas.org/detail?cas_rn=83-79-4&search=rotenone rotenones 2 ug/L 6 days none none 26 celsius social interaction sociality time spent in the left arm time spent in social zone zone NA fig5 ilie_2021_fig5 NA NA NA 15 150.5554755 65.3221314 NA NA 16.86610181 study reports mean and se exact sample size provided (section 2.4. Design Protocol) NA NA NA 15 72.0664520 117.8912658 NA NA 30.43939394 study reports mean and se exact sample size provided (section 2.4. Design Protocol) NA NA NA NA
NA NA NA KM The Possible Role of<a0>Bifidobacterium longum<a0>BB536 and<a0>Lactobacillus rhamnosus<a0>HN001 on Locomotor Activity and Oxidative Stress in a Rotenone-Induced Zebrafish Model of Parkinson’s Disease 10.1155/2021/9629102 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8531778/ Oxidative Medicine and Cellular Longevity ilie_2021 ilie_2021_exp_001 ilie_2021_exp2_001 ilie_2021_exp_001_assay_007 ilie_2021_exp2_001_assay2_007 zebrafish Danio rerio commercial supplier not_wild not reported rotenone commercial 83-79-4 https://commonchemistry.cas.org/detail?cas_rn=83-79-4&search=rotenone rotenones 2 ug/L 7 days none none 26 celsius social interaction sociality time spent in the left arm time spent in social zone zone NA fig5 ilie_2021_fig5 NA NA NA 15 153.2387189 56.4145680 NA NA 14.56617884 study reports mean and se exact sample size provided (section 2.4. Design Protocol) NA NA NA 15 153.4452398 80.5991307 NA NA 20.81060606 study reports mean and se exact sample size provided (section 2.4. Design Protocol) NA NA NA NA
NA NA NA KM The Possible Role of<a0>Bifidobacterium longum<a0>BB536 and<a0>Lactobacillus rhamnosus<a0>HN001 on Locomotor Activity and Oxidative Stress in a Rotenone-Induced Zebrafish Model of Parkinson’s Disease 10.1155/2021/9629102 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8531778/ Oxidative Medicine and Cellular Longevity ilie_2021 ilie_2021_exp_001 ilie_2021_exp2_001 ilie_2021_exp_001_assay_008 ilie_2021_exp2_001_assay2_008 zebrafish Danio rerio commercial supplier not_wild not reported rotenone commercial 83-79-4 https://commonchemistry.cas.org/detail?cas_rn=83-79-4&search=rotenone rotenones 2 ug/L 8 days none none 26 celsius social interaction sociality time spent in the left arm time spent in social zone zone NA fig5 ilie_2021_fig5 NA NA NA 15 141.9599901 67.4764101 NA NA 17.42233417 study reports mean and se exact sample size provided (section 2.4. Design Protocol) NA NA NA 15 92.8770580 61.3515771 NA NA 15.84090909 study reports mean and se exact sample size provided (section 2.4. Design Protocol) NA NA NA NA
NA NA NA KM The Possible Role of<a0>Bifidobacterium longum<a0>BB536 and<a0>Lactobacillus rhamnosus<a0>HN001 on Locomotor Activity and Oxidative Stress in a Rotenone-Induced Zebrafish Model of Parkinson’s Disease 10.1155/2021/9629102 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8531778/ Oxidative Medicine and Cellular Longevity ilie_2021 ilie_2021_exp_001 ilie_2021_exp2_001 ilie_2021_exp_001_assay_009 ilie_2021_exp2_001_assay2_009 zebrafish Danio rerio commercial supplier not_wild not reported rotenone commercial 83-79-4 https://commonchemistry.cas.org/detail?cas_rn=83-79-4&search=rotenone rotenones 2 ug/L 9 days none none 26 celsius social interaction sociality time spent in the left arm time spent in social zone zone NA fig5 ilie_2021_fig5 NA NA NA 15 126.2798894 79.6221639 NA NA 20.55835432 study reports mean and se exact sample size provided (section 2.4. Design Protocol) NA NA NA 15 151.8922095 141.9507078 NA NA 36.65151515 study reports mean and se exact sample size provided (section 2.4. Design Protocol) NA NA NA NA
NA NA NA KM The Possible Role of<a0>Bifidobacterium longum<a0>BB536 and<a0>Lactobacillus rhamnosus<a0>HN001 on Locomotor Activity and Oxidative Stress in a Rotenone-Induced Zebrafish Model of Parkinson’s Disease 10.1155/2021/9629102 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8531778/ Oxidative Medicine and Cellular Longevity ilie_2021 ilie_2021_exp_001 ilie_2021_exp2_001 ilie_2021_exp_001_assay_010 ilie_2021_exp2_001_assay2_010 zebrafish Danio rerio commercial supplier not_wild not reported rotenone commercial 83-79-4 https://commonchemistry.cas.org/detail?cas_rn=83-79-4&search=rotenone rotenones 2 ug/L 10 days none none 26 celsius social interaction sociality time spent in the left arm time spent in social zone zone NA fig5 ilie_2021_fig5 NA NA NA 15 121.7500825 101.2146152 NA NA 26.13350126 study reports mean and se exact sample size provided (section 2.4. Design Protocol) NA NA NA 15 90.0816035 93.8318238 NA NA 24.22727273 study reports mean and se exact sample size provided (section 2.4. Design Protocol) NA NA NA NA
NA NA NA KM The Possible Role of<a0>Bifidobacterium longum<a0>BB536 and<a0>Lactobacillus rhamnosus<a0>HN001 on Locomotor Activity and Oxidative Stress in a Rotenone-Induced Zebrafish Model of Parkinson’s Disease 10.1155/2021/9629102 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8531778/ Oxidative Medicine and Cellular Longevity ilie_2021 ilie_2021_exp_001 ilie_2021_exp2_001 ilie_2021_exp_001_assay_011 ilie_2021_exp2_001_assay2_011 zebrafish Danio rerio commercial supplier not_wild not reported rotenone commercial 83-79-4 https://commonchemistry.cas.org/detail?cas_rn=83-79-4&search=rotenone rotenones 2 ug/L 11 days none none 26 celsius social interaction sociality time spent in the left arm time spent in social zone zone NA fig5 ilie_2021_fig5 NA NA NA 15 157.2916442 26.9905640 NA NA 6.968933669 study reports mean and se exact sample size provided (section 2.4. Design Protocol) NA NA NA 15 135.4300883 111.8764053 NA NA 28.88636364 study reports mean and se exact sample size provided (section 2.4. Design Protocol) NA NA NA NA
NA NA NA KM The Possible Role of<a0>Bifidobacterium longum<a0>BB536 and<a0>Lactobacillus rhamnosus<a0>HN001 on Locomotor Activity and Oxidative Stress in a Rotenone-Induced Zebrafish Model of Parkinson’s Disease 10.1155/2021/9629102 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8531778/ Oxidative Medicine and Cellular Longevity ilie_2021 ilie_2021_exp_001 ilie_2021_exp2_001 ilie_2021_exp_001_assay_012 ilie_2021_exp2_001_assay2_012 zebrafish Danio rerio commercial supplier not_wild not reported rotenone commercial 83-79-4 https://commonchemistry.cas.org/detail?cas_rn=83-79-4&search=rotenone rotenones 2 ug/L 12 days none none 26 celsius social interaction sociality time spent in the left arm time spent in social zone zone NA fig5 ilie_2021_fig5 NA NA NA 15 143.0053302 94.4669742 NA NA 24.39126784 study reports mean and se exact sample size provided (section 2.4. Design Protocol) NA NA NA 15 142.2634217 42.1040235 NA NA 10.87121212 study reports mean and se exact sample size provided (section 2.4. Design Protocol) NA NA NA NA
NA NA NA KM The Possible Role of<a0>Bifidobacterium longum<a0>BB536 and<a0>Lactobacillus rhamnosus<a0>HN001 on Locomotor Activity and Oxidative Stress in a Rotenone-Induced Zebrafish Model of Parkinson’s Disease 10.1155/2021/9629102 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8531778/ Oxidative Medicine and Cellular Longevity ilie_2021 ilie_2021_exp_001 ilie_2021_exp2_001 ilie_2021_exp_001_assay_013 ilie_2021_exp2_001_assay2_013 zebrafish Danio rerio commercial supplier not_wild not reported rotenone commercial 83-79-4 https://commonchemistry.cas.org/detail?cas_rn=83-79-4&search=rotenone rotenones 2 ug/L 13 days none none 26 celsius social interaction sociality time spent in the left arm time spent in social zone zone NA fig5 ilie_2021_fig5 NA NA NA 15 101.8886215 66.1268819 NA NA 17.07388749 study reports mean and se exact sample size provided (section 2.4. Design Protocol) NA NA NA 15 76.4149368 111.8764053 NA NA 28.88636364 study reports mean and se exact sample size provided (section 2.4. Design Protocol) NA NA NA NA
NA NA NA KM The Possible Role of<a0>Bifidobacterium longum<a0>BB536 and<a0>Lactobacillus rhamnosus<a0>HN001 on Locomotor Activity and Oxidative Stress in a Rotenone-Induced Zebrafish Model of Parkinson’s Disease 10.1155/2021/9629102 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8531778/ Oxidative Medicine and Cellular Longevity ilie_2021 ilie_2021_exp_001 ilie_2021_exp2_001 ilie_2021_exp_001_assay_014 ilie_2021_exp2_001_assay2_014 zebrafish Danio rerio commercial supplier not_wild not reported rotenone commercial 83-79-4 https://commonchemistry.cas.org/detail?cas_rn=83-79-4&search=rotenone rotenones 2 ug/L 14 days none none 26 celsius social interaction sociality time spent in the left arm time spent in social zone zone NA fig5 ilie_2021_fig5 NA NA NA 15 133.2488231 47.2334871 NA NA 12.19563392 study reports mean and se exact sample size provided (section 2.4. Design Protocol) NA NA NA 15 96.2937247 98.6437122 NA NA 25.46969697 study reports mean and se exact sample size provided (section 2.4. Design Protocol) NA NA NA NA
NA NA NA KM The Possible Role of<a0>Bifidobacterium longum<a0>BB536 and<a0>Lactobacillus rhamnosus<a0>HN001 on Locomotor Activity and Oxidative Stress in a Rotenone-Induced Zebrafish Model of Parkinson’s Disease 10.1155/2021/9629102 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8531778/ Oxidative Medicine and Cellular Longevity ilie_2021 ilie_2021_exp_001 ilie_2021_exp2_001 ilie_2021_exp_001_assay_015 ilie_2021_exp2_001_assay2_015 zebrafish Danio rerio commercial supplier not_wild not reported rotenone commercial 83-79-4 https://commonchemistry.cas.org/detail?cas_rn=83-79-4&search=rotenone rotenones 2 ug/L 15 days none none 26 celsius social interaction sociality time spent in the left arm time spent in social zone zone NA fig5 ilie_2021_fig5 NA NA NA 15 103.2688888 28.7128377 NA NA 7.413622827 study reports mean and se exact sample size provided (section 2.4. Design Protocol) NA NA NA 15 133.8770580 73.3812981 NA NA 18.9469697 study reports mean and se exact sample size provided (section 2.4. Design Protocol) NA NA NA NA
NA NA NA KM The Possible Role of<a0>Bifidobacterium longum<a0>BB536 and<a0>Lactobacillus rhamnosus<a0>HN001 on Locomotor Activity and Oxidative Stress in a Rotenone-Induced Zebrafish Model of Parkinson’s Disease 10.1155/2021/9629102 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8531778/ Oxidative Medicine and Cellular Longevity ilie_2021 ilie_2021_exp_001 ilie_2021_exp2_001 ilie_2021_exp_001_assay_016 ilie_2021_exp2_001_assay2_016 zebrafish Danio rerio commercial supplier not_wild not reported rotenone commercial 83-79-4 https://commonchemistry.cas.org/detail?cas_rn=83-79-4&search=rotenone rotenones 2 ug/L 16 days none none 26 celsius social interaction sociality time spent in the left arm time spent in social zone zone NA fig5 ilie_2021_fig5 NA NA NA 15 116.0367948 73.3772520 NA NA 18.945925 study reports mean and se exact sample size provided (section 2.4. Design Protocol) NA NA NA 15 86.6649368 131.1239589 NA NA 33.85606061 study reports mean and se exact sample size provided (section 2.4. Design Protocol) NA NA NA NA
NA NA NA KM The Possible Role of<a0>Bifidobacterium longum<a0>BB536 and<a0>Lactobacillus rhamnosus<a0>HN001 on Locomotor Activity and Oxidative Stress in a Rotenone-Induced Zebrafish Model of Parkinson’s Disease 10.1155/2021/9629102 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8531778/ Oxidative Medicine and Cellular Longevity ilie_2021 ilie_2021_exp_001 ilie_2021_exp2_001 ilie_2021_exp_001_assay_017 ilie_2021_exp2_001_assay2_017 zebrafish Danio rerio commercial supplier not_wild not reported rotenone commercial 83-79-4 https://commonchemistry.cas.org/detail?cas_rn=83-79-4&search=rotenone rotenones 2 ug/L 17 days none none 26 celsius social interaction sociality time spent in the left arm time spent in social zone zone NA fig5 ilie_2021_fig5 NA NA NA 15 147.7506257 84.5433556 NA NA 21.82900054 study reports mean and se exact sample size provided (section 2.4. Design Protocol) NA NA NA 15 132.3240277 90.2229075 NA NA 23.29545455 study reports mean and se exact sample size provided (section 2.4. Design Protocol) NA NA NA NA
NA NA NA KM The Possible Role of<a0>Bifidobacterium longum<a0>BB536 and<a0>Lactobacillus rhamnosus<a0>HN001 on Locomotor Activity and Oxidative Stress in a Rotenone-Induced Zebrafish Model of Parkinson’s Disease 10.1155/2021/9629102 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8531778/ Oxidative Medicine and Cellular Longevity ilie_2021 ilie_2021_exp_001 ilie_2021_exp2_001 ilie_2021_exp_001_assay_018 ilie_2021_exp2_001_assay2_018 zebrafish Danio rerio commercial supplier not_wild not reported rotenone commercial 83-79-4 https://commonchemistry.cas.org/detail?cas_rn=83-79-4&search=rotenone rotenones 2 ug/L 18 days none none 26 celsius social interaction sociality time spent in the left arm time spent in social zone zone NA fig5 ilie_2021_fig5 NA NA NA 15 117.2723986 79.7578826 NA NA 20.59339674 study reports mean and se exact sample size provided (section 2.4. Design Protocol) NA NA NA 15 146.3013004 90.2229075 NA NA 23.29545455 study reports mean and se exact sample size provided (section 2.4. Design Protocol) NA NA NA NA
NA NA NA KM The Possible Role of<a0>Bifidobacterium longum<a0>BB536 and<a0>Lactobacillus rhamnosus<a0>HN001 on Locomotor Activity and Oxidative Stress in a Rotenone-Induced Zebrafish Model of Parkinson’s Disease 10.1155/2021/9629102 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8531778/ Oxidative Medicine and Cellular Longevity ilie_2021 ilie_2021_exp_001 ilie_2021_exp2_001 ilie_2021_exp_001_assay_019 ilie_2021_exp2_001_assay2_019 zebrafish Danio rerio commercial supplier not_wild not reported rotenone commercial 83-79-4 https://commonchemistry.cas.org/detail?cas_rn=83-79-4&search=rotenone rotenones 2 ug/L 19 days none none 26 celsius social interaction sociality time spent in the left arm time spent in social zone zone NA fig5 ilie_2021_fig5 NA NA NA 15 107.3875681 124.4222969 NA NA 32.12569891 study reports mean and se exact sample size provided (section 2.4. Design Protocol) NA NA NA 15 133.5664520 105.8615448 NA NA 27.33333333 study reports mean and se exact sample size provided (section 2.4. Design Protocol) NA NA NA NA
NA NA NA KM The Possible Role of<a0>Bifidobacterium longum<a0>BB536 and<a0>Lactobacillus rhamnosus<a0>HN001 on Locomotor Activity and Oxidative Stress in a Rotenone-Induced Zebrafish Model of Parkinson’s Disease 10.1155/2021/9629102 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8531778/ Oxidative Medicine and Cellular Longevity ilie_2021 ilie_2021_exp_001 ilie_2021_exp2_001 ilie_2021_exp_001_assay_020 ilie_2021_exp2_001_assay2_020 zebrafish Danio rerio commercial supplier not_wild not reported rotenone commercial 83-79-4 https://commonchemistry.cas.org/detail?cas_rn=83-79-4&search=rotenone rotenones 2 ug/L 20 days none none 26 celsius social interaction sociality time spent in the left arm time spent in social zone zone NA fig5 ilie_2021_fig5 NA NA NA 15 100.7976812 76.5675673 NA NA 19.76966087 study reports mean and se exact sample size provided (section 2.4. Design Protocol) NA NA NA 15 171.1497853 99.8466843 NA NA 25.78030303 study reports mean and se exact sample size provided (section 2.4. Design Protocol) NA NA NA NA
NA NA NA KM The Possible Role of<a0>Bifidobacterium longum<a0>BB536 and<a0>Lactobacillus rhamnosus<a0>HN001 on Locomotor Activity and Oxidative Stress in a Rotenone-Induced Zebrafish Model of Parkinson’s Disease 10.1155/2021/9629102 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8531778/ Oxidative Medicine and Cellular Longevity ilie_2021 ilie_2021_exp_001 ilie_2021_exp2_001 ilie_2021_exp_001_assay_021 ilie_2021_exp2_001_assay2_021 zebrafish Danio rerio commercial supplier not_wild not reported rotenone commercial 83-79-4 https://commonchemistry.cas.org/detail?cas_rn=83-79-4&search=rotenone rotenones 2 ug/L 21 days none none 26 celsius social interaction sociality time spent in the left arm time spent in social zone zone NA fig5 ilie_2021_fig5 NA NA NA 15 118.0961344 55.8305178 NA NA 14.41537772 study reports mean and se exact sample size provided (section 2.4. Design Protocol) NA NA NA 15 169.5967550 86.6139912 NA NA 22.36363636 study reports mean and se exact sample size provided (section 2.4. Design Protocol) NA NA NA NA
NA NA NA KM Assessing Anti-Social and Aggressive Behavior in a Zebrafish (Danio rerio) Model of Parkinson<92>s Disease Chronically Exposed to Rotenone 10.3390/brainsci12070898 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9313068/ Brain Sciences ilie_2022 ilie_2022_exp_001 ilie_2022_exp2_001 ilie_2022_exp_001_assay_001 ilie_2022_exp2_001_assay2_001 zebrafish Danio rerio commercial supplier not_wild not reported rotenone commercial 83-79-4 https://commonchemistry.cas.org/detail?cas_rn=83-79-4&search=rotenone rotenones 2.5 ug/L 1 days none none 26 celsius aggression aggression percentage of time in left arm time spent in aggression zone zone NA fig4e treatment; fig4a control ilie_2022_fig4e_treatment; fig4a_control NA NA NA 5 24.1711521 6.1675584 NA NA 2.758215962 study reports mean and se exact sample size provided NA NA NA 5 54.3138300 18.2243696 NA NA 8.150185874 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Assessing Anti-Social and Aggressive Behavior in a Zebrafish (Danio rerio) Model of Parkinson<92>s Disease Chronically Exposed to Rotenone 10.3390/brainsci12070898 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9313068/ Brain Sciences ilie_2022 ilie_2022_exp_001 ilie_2022_exp2_001 ilie_2022_exp_001_assay_002 ilie_2022_exp2_001_assay2_002 zebrafish Danio rerio commercial supplier not_wild not reported rotenone commercial 83-79-4 https://commonchemistry.cas.org/detail?cas_rn=83-79-4&search=rotenone rotenones 2.5 ug/L 4 days none none 26 celsius aggression aggression percentage of time in left arm time spent in aggression zone zone NA fig4e treatment; fig4a control ilie_2022_fig4e_treatment; fig4a_control NA NA NA 5 14.5725605 13.0752238 NA NA 5.84741784 study reports mean and se exact sample size provided NA NA NA 5 37.1078821 47.2483657 NA NA 21.13011152 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Assessing Anti-Social and Aggressive Behavior in a Zebrafish (Danio rerio) Model of Parkinson<92>s Disease Chronically Exposed to Rotenone 10.3390/brainsci12070898 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9313068/ Brain Sciences ilie_2022 ilie_2022_exp_001 ilie_2022_exp2_001 ilie_2022_exp_001_assay_003 ilie_2022_exp2_001_assay2_003 zebrafish Danio rerio commercial supplier not_wild not reported rotenone commercial 83-79-4 https://commonchemistry.cas.org/detail?cas_rn=83-79-4&search=rotenone rotenones 2.5 ug/L 8 days none none 26 celsius aggression aggression percentage of time in left arm time spent in aggression zone zone NA fig4e treatment; fig4a control ilie_2022_fig4e_treatment; fig4a_control NA NA NA 5 10.3800723 5.1807490 NA NA 2.316901408 study reports mean and se exact sample size provided NA NA NA 5 25.9391089 11.4746031 NA NA 5.131598513 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Assessing Anti-Social and Aggressive Behavior in a Zebrafish (Danio rerio) Model of Parkinson<92>s Disease Chronically Exposed to Rotenone 10.3390/brainsci12070898 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9313068/ Brain Sciences ilie_2022 ilie_2022_exp_001 ilie_2022_exp2_001 ilie_2022_exp_001_assay_004 ilie_2022_exp2_001_assay2_004 zebrafish Danio rerio commercial supplier not_wild not reported rotenone commercial 83-79-4 https://commonchemistry.cas.org/detail?cas_rn=83-79-4&search=rotenone rotenones 2.5 ug/L 12 days none none 26 celsius aggression aggression percentage of time in left arm time spent in aggression zone zone NA fig4e treatment; fig4a control ilie_2022_fig4e_treatment; fig4a_control NA NA NA 5 20.7509643 15.7889495 NA NA 7.061032864 study reports mean and se exact sample size provided NA NA NA 5 8.1294434 11.8120914 NA NA 5.282527881 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Assessing Anti-Social and Aggressive Behavior in a Zebrafish (Danio rerio) Model of Parkinson<92>s Disease Chronically Exposed to Rotenone 10.3390/brainsci12070898 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9313068/ Brain Sciences ilie_2022 ilie_2022_exp_001 ilie_2022_exp2_001 ilie_2022_exp_001_assay_005 ilie_2022_exp2_001_assay2_005 zebrafish Danio rerio commercial supplier not_wild not reported rotenone commercial 83-79-4 https://commonchemistry.cas.org/detail?cas_rn=83-79-4&search=rotenone rotenones 2.5 ug/L 16 days none none 26 celsius aggression aggression percentage of time in left arm time spent in aggression zone zone NA fig4e treatment; fig4a control ilie_2022_fig4e_treatment; fig4a_control NA NA NA 5 10.1594150 11.8417121 NA NA 5.295774648 study reports mean and se exact sample size provided NA NA NA 5 12.5063951 13.8370214 NA NA 6.188104089 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Assessing Anti-Social and Aggressive Behavior in a Zebrafish (Danio rerio) Model of Parkinson<92>s Disease Chronically Exposed to Rotenone 10.3390/brainsci12070898 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9313068/ Brain Sciences ilie_2022 ilie_2022_exp_001 ilie_2022_exp2_001 ilie_2022_exp_001_assay_006 ilie_2022_exp2_001_assay2_006 zebrafish Danio rerio commercial supplier not_wild not reported rotenone commercial 83-79-4 https://commonchemistry.cas.org/detail?cas_rn=83-79-4&search=rotenone rotenones 2.5 ug/L 20 days none none 26 celsius aggression aggression percentage of time in left arm time spent in aggression zone zone NA fig4e treatment; fig4a control ilie_2022_fig4e_treatment; fig4a_control NA NA NA 5 14.9035465 6.6609631 NA NA 2.978873239 study reports mean and se exact sample size provided NA NA NA 5 11.4498895 14.8494864 NA NA 6.640892193 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Assessing Anti-Social and Aggressive Behavior in a Zebrafish (Danio rerio) Model of Parkinson<92>s Disease Chronically Exposed to Rotenone 10.3390/brainsci12070898 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9313068/ Brain Sciences ilie_2022 ilie_2022_exp_001 ilie_2022_exp2_001 ilie_2022_exp_001_assay_007 ilie_2022_exp2_001_assay2_007 zebrafish Danio rerio commercial supplier not_wild not reported rotenone commercial 83-79-4 https://commonchemistry.cas.org/detail?cas_rn=83-79-4&search=rotenone rotenones 2.5 ug/L 24 days none none 26 celsius aggression aggression percentage of time in left arm time spent in aggression zone zone NA fig4e treatment; fig4a control ilie_2022_fig4e_treatment; fig4a_control NA NA NA 5 17.2204479 8.3878794 NA NA 3.751173709 study reports mean and se exact sample size provided NA NA NA 5 9.7896665 8.7746965 NA NA 3.924163569 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Assessing Anti-Social and Aggressive Behavior in a Zebrafish (Danio rerio) Model of Parkinson<92>s Disease Chronically Exposed to Rotenone 10.3390/brainsci12070898 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9313068/ Brain Sciences ilie_2022 ilie_2022_exp_001 ilie_2022_exp2_001 ilie_2022_exp_001_assay_008 ilie_2022_exp2_001_assay2_008 zebrafish Danio rerio commercial supplier not_wild not reported rotenone commercial 83-79-4 https://commonchemistry.cas.org/detail?cas_rn=83-79-4&search=rotenone rotenones 2.5 ug/L 28 days none none 26 celsius aggression aggression percentage of time in left arm time spent in aggression zone zone NA fig4e treatment; fig4a control ilie_2022_fig4e_treatment; fig4a_control NA NA NA 5 18.4340629 14.0620331 NA NA 6.288732394 study reports mean and se exact sample size provided NA NA NA 5 3.7524918 3.7123716 NA NA 1.660223048 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Assessing Anti-Social and Aggressive Behavior in a Zebrafish (Danio rerio) Model of Parkinson<92>s Disease Chronically Exposed to Rotenone 10.3390/brainsci12070898 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9313068/ Brain Sciences ilie_2022 ilie_2022_exp_001 ilie_2022_exp2_001 ilie_2022_exp_001_assay_009 ilie_2022_exp2_001_assay2_009 zebrafish Danio rerio commercial supplier not_wild not reported rotenone commercial 83-79-4 https://commonchemistry.cas.org/detail?cas_rn=83-79-4&search=rotenone rotenones 2.5 ug/L 32 days none none 26 celsius aggression aggression percentage of time in left arm time spent in aggression zone zone NA fig4e treatment; fig4a control ilie_2022_fig4e_treatment; fig4a_control NA NA NA 5 14.0209173 12.8285214 NA NA 5.737089202 study reports mean and se exact sample size provided NA NA NA 5 3.6015624 3.0373949 NA NA 1.358364312 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Effects of a pyrethroid pesticide on endocrine responses to female odours and reproductive behaviour in male parr of brown trout (Salmo trutta L.) 10.1016/j.aquatox.2006.10.011 https://www.sciencedirect.com/science/article/pii/S0166445X06003870?via%3Dihub Aquatic Toxicology jaensson_2007 jaensson_2007_exp_001 jaensson_2007_exp2_001 jaensson_2007_exp_001_assay_001 jaensson_2007_exp2_001_assay2_001 brown trout Salmo trutta wild collected wild male cypermethrin not reported 52315-07-8 https://commonchemistry.cas.org/detail?cas_rn=52315-07-8&search=cypermethrin pyrethroid 0.1 ug/L 4 days not reported NA 6 celsius courting courtship number of courting events per six minutes frequency of courting events count NA fig2a jaensson_2007_fig2a NA NA NA 24 5.4455962 8.3404826 NA NA 1.702493876 study reports mean and sd exact sample size provided NA NA NA 12 8.6996395 11.9034852 NA NA 3.436240208 study reports mean and sd exact sample size provided NA NA NA NA
NA NA NA KM Effects of a pyrethroid pesticide on endocrine responses to female odours and reproductive behaviour in male parr of brown trout (Salmo trutta L.) 10.1016/j.aquatox.2006.10.011 https://www.sciencedirect.com/science/article/pii/S0166445X06003870?via%3Dihub Aquatic Toxicology jaensson_2007 jaensson_2007_exp_002 jaensson_2007_exp2_002 jaensson_2007_exp_002_assay_001 jaensson_2007_exp2_002_assay2_001 brown trout Salmo trutta wild collected wild male cypermethrin not reported 52315-07-8 https://commonchemistry.cas.org/detail?cas_rn=52315-07-8&search=cypermethrin pyrethroid 0.1 ug/L 4 days not reported NA 6 celsius courting courtship time near female time spent near potential mate NA NA fig2b jaensson_2007_fig2b NA NA NA 15 360.3483120 426.5316456 NA NA 110.1299973 study reports mean and sd exact sample size provided NA NA NA 7 671.4445668 512.6708861 NA NA 193.7713813 study reports mean and sd exact sample size provided NA NA NA NA
NA NA NA KM Effects of a pyrethroid pesticide on endocrine responses to female odours and reproductive behaviour in male parr of brown trout (Salmo trutta L.) 10.1016/j.aquatox.2006.10.011 https://www.sciencedirect.com/science/article/pii/S0166445X06003870?via%3Dihub Aquatic Toxicology jaensson_2007 jaensson_2007_exp_003 jaensson_2007_exp2_003 jaensson_2007_exp_002_assay_002 jaensson_2007_exp2_003_assay2_001 brown trout Salmo trutta wild collected wild male cypermethrin not reported 52315-07-8 https://commonchemistry.cas.org/detail?cas_rn=52315-07-8&search=cypermethrin pyrethroid 1 ug/L 4 days not reported NA 6 celsius courting courtship time near female time spent near potential mate NA NA fig2b jaensson_2007_fig2b NA NA NA 15 360.3483120 426.5316456 NA NA 110.1299973 study reports mean and sd exact sample size provided NA NA NA 5 76.9169366 66.0509931 NA NA 29.5389021 study reports mean and sd exact sample size provided NA NA NA NA
unclear on number of shoals but seems to be one NA NA KM Alterations in social behavior of Japanese medaka (Oryzias latipes) in response to sublethal chlorpyrifos exposure 10.1016/j.chemosphere.2013.02.042 https://www.sciencedirect.com/science/article/pii/S0045653513003500?via%3Dihub Chemosphere khalil_2013 khalil_2013_exp_001 khalil_2013_exp2_001 khalil_2013_exp_001_assay_001 khalil_2013_exp2_001_assay2_001 Japanese medaka Oryzias latipes laboratory stock from not specified source not_wild not reported chlorpyrifos analytical 2921-88-2 https://commonchemistry.cas.org/detail?cas_rn=2921-88-2&search=chlorpyrifos organophosphate 0.012 mg/L 4 days DTNB solvent_used 25 celsius schooling collective behaviour swimming speed group movement NA NA fig3a khalil_2013_fig3a 1.714286 1.000000 6 6 1.3847356 0.6346154 0.2590806 0.6346154 0.259080646 study reports mean and sd states six fish were placed in recording glass aquarium for social behaviour (section 2.4. Subacute testing) 1.714286 1.000000 6 6 1.2924279 0.4846154 0.1978434 0.4846154 0.197843402 study reports mean and sd states six fish were placed in recording glass aquarium for social behaviour (section 2.4. Subacute testing) NA NA NA NA
NA NA NA KM Alterations in social behavior of Japanese medaka (Oryzias latipes) in response to sublethal chlorpyrifos exposure 10.1016/j.chemosphere.2013.02.042 https://www.sciencedirect.com/science/article/pii/S0045653513003500?via%3Dihub Chemosphere khalil_2013 khalil_2013_exp_001 khalil_2013_exp2_002 khalil_2013_exp_001_assay_002 khalil_2013_exp2_002_assay2_001 Japanese medaka Oryzias latipes laboratory stock from not specified source not_wild not reported chlorpyrifos analytical 2921-88-2 https://commonchemistry.cas.org/detail?cas_rn=2921-88-2&search=chlorpyrifos organophosphate 0.012 mg/L 8 days DTNB solvent_used 25 celsius schooling collective behaviour swimming speed group movement NA NA fig3a khalil_2013_fig3a 1.714286 1.000000 6 6 0.7270433 0.1384615 0.0565267 0.1384615 0.056526686 study reports mean and sd states six fish were placed in recording glass aquarium for social behaviour (section 2.4. Subacute testing) 1.714286 1.000000 6 6 1.4424279 0.4961538 0.2025540 0.4961538 0.202553959 study reports mean and sd states six fish were placed in recording glass aquarium for social behaviour (section 2.4. Subacute testing) NA NA NA NA
NA NA NA KM Alterations in social behavior of Japanese medaka (Oryzias latipes) in response to sublethal chlorpyrifos exposure 10.1016/j.chemosphere.2013.02.042 https://www.sciencedirect.com/science/article/pii/S0045653513003500?via%3Dihub Chemosphere khalil_2013 khalil_2013_exp_001 khalil_2013_exp2_001 khalil_2013_exp_001_assay_003 khalil_2013_exp2_001_assay2_002 Japanese medaka Oryzias latipes laboratory stock from not specified source not_wild not reported chlorpyrifos analytical 2921-88-2 https://commonchemistry.cas.org/detail?cas_rn=2921-88-2&search=chlorpyrifos organophosphate 0.012 mg/L 4 days DTNB solvent_used 25 celsius schooling collective behaviour duration duration of group behaviour NA NA fig3c khalil_2013_fig3c 1.714286 1.000000 6 6 8.5929786 4.7407407 1.9353993 4.7407407 1.935399303 study reports mean and sd states six fish were placed in recording glass aquarium for social behaviour (section 2.4. Subacute testing) 1.714286 1.000000 6 6 6.8522378 2.5925926 1.0584215 2.5925926 1.058421494 study reports mean and sd states six fish were placed in recording glass aquarium for social behaviour (section 2.4. Subacute testing) NA NA NA NA
NA NA NA KM Alterations in social behavior of Japanese medaka (Oryzias latipes) in response to sublethal chlorpyrifos exposure 10.1016/j.chemosphere.2013.02.042 https://www.sciencedirect.com/science/article/pii/S0045653513003500?via%3Dihub Chemosphere khalil_2013 khalil_2013_exp_001 khalil_2013_exp2_002 khalil_2013_exp_001_assay_004 khalil_2013_exp2_002_assay2_002 Japanese medaka Oryzias latipes laboratory stock from not specified source not_wild not reported chlorpyrifos analytical 2921-88-2 https://commonchemistry.cas.org/detail?cas_rn=2921-88-2&search=chlorpyrifos organophosphate 0.012 mg/L 8 days DTNB solvent_used 25 celsius schooling collective behaviour duration duration of group behaviour NA NA fig3c khalil_2013_fig3c 1.714286 1.000000 6 6 5.2966823 3.9259259 1.6027525 3.9259259 1.602752548 study reports mean and sd states six fish were placed in recording glass aquarium for social behaviour (section 2.4. Subacute testing) 1.714286 1.000000 6 6 2.7040897 1.1481481 0.4687295 1.1481481 0.468729519 study reports mean and sd states six fish were placed in recording glass aquarium for social behaviour (section 2.4. Subacute testing) NA NA NA NA
NA NA NA KM Alterations in social behavior of Japanese medaka (Oryzias latipes) in response to sublethal chlorpyrifos exposure 10.1016/j.chemosphere.2013.02.042 https://www.sciencedirect.com/science/article/pii/S0045653513003500?via%3Dihub Chemosphere khalil_2013 khalil_2013_exp_001 khalil_2013_exp2_001 khalil_2013_exp_001_assay_005 khalil_2013_exp2_001_assay2_003 Japanese medaka Oryzias latipes laboratory stock from not specified source not_wild not reported chlorpyrifos analytical 2921-88-2 https://commonchemistry.cas.org/detail?cas_rn=2921-88-2&search=chlorpyrifos organophosphate 0.012 mg/L 4 days DTNB solvent_used 25 celsius schooling collective behaviour frequency frequency of group behaviour NA NA fig3d khalil_2013_fig3d 1.714286 1.000000 6 6 42.3950804 57.9710145 23.6665676 57.9710145 23.66656756 study reports mean and sd states six fish were placed in recording glass aquarium for social behaviour (section 2.4. Subacute testing) 1.714286 1.000000 6 6 81.5255151 43.4782609 17.7499257 43.4782609 17.74992567 study reports mean and sd states six fish were placed in recording glass aquarium for social behaviour (section 2.4. Subacute testing) NA NA NA NA
NA NA NA KM Alterations in social behavior of Japanese medaka (Oryzias latipes) in response to sublethal chlorpyrifos exposure 10.1016/j.chemosphere.2013.02.042 https://www.sciencedirect.com/science/article/pii/S0045653513003500?via%3Dihub Chemosphere khalil_2013 khalil_2013_exp_001 khalil_2013_exp2_002 khalil_2013_exp_001_assay_006 khalil_2013_exp2_002_assay2_003 Japanese medaka Oryzias latipes laboratory stock from not specified source not_wild not reported chlorpyrifos analytical 2921-88-2 https://commonchemistry.cas.org/detail?cas_rn=2921-88-2&search=chlorpyrifos organophosphate 0.012 mg/L 8 days DTNB solvent_used 25 celsius schooling collective behaviour frequency frequency of group behaviour NA NA fig3d khalil_2013_fig3d 1.714286 1.000000 6 6 31.1631963 8.3333333 3.4020691 8.3333333 3.402069087 study reports mean and sd states six fish were placed in recording glass aquarium for social behaviour (section 2.4. Subacute testing) 1.714286 1.000000 6 6 43.1197180 14.1304348 5.7687258 14.1304348 5.768725844 study reports mean and sd states six fish were placed in recording glass aquarium for social behaviour (section 2.4. Subacute testing) NA NA NA NA
NA NA NA KM Alterations in social behavior of Japanese medaka (Oryzias latipes) in response to sublethal chlorpyrifos exposure 10.1016/j.chemosphere.2013.02.042 https://www.sciencedirect.com/science/article/pii/S0045653513003500?via%3Dihub Chemosphere khalil_2013 khalil_2013_exp_001 khalil_2013_exp2_001 khalil_2013_exp_001_assay_007 khalil_2013_exp2_001_assay2_004 Japanese medaka Oryzias latipes laboratory stock from not specified source not_wild not reported chlorpyrifos analytical 2921-88-2 https://commonchemistry.cas.org/detail?cas_rn=2921-88-2&search=chlorpyrifos organophosphate 0.012 mg/L 4 days DTNB solvent_used 25 celsius shoaling collective behaviour duration duration of group behaviour NA NA fig3g khalil_2013_fig3g 1.714286 1.000000 6 6 4.2084367 4.1089109 1.6774558 4.1089109 1.677455847 study reports mean and sd states six fish were placed in recording glass aquarium for social behaviour (section 2.4. Subacute testing) 1.714286 1.000000 6 6 7.1292288 0.8910891 0.3637856 0.8910891 0.363785605 study reports mean and sd states six fish were placed in recording glass aquarium for social behaviour (section 2.4. Subacute testing) NA NA NA NA
NA NA NA KM Alterations in social behavior of Japanese medaka (Oryzias latipes) in response to sublethal chlorpyrifos exposure 10.1016/j.chemosphere.2013.02.042 https://www.sciencedirect.com/science/article/pii/S0045653513003500?via%3Dihub Chemosphere khalil_2013 khalil_2013_exp_001 khalil_2013_exp2_002 khalil_2013_exp_001_assay_008 khalil_2013_exp2_002_assay2_004 Japanese medaka Oryzias latipes laboratory stock from not specified source not_wild not reported chlorpyrifos analytical 2921-88-2 https://commonchemistry.cas.org/detail?cas_rn=2921-88-2&search=chlorpyrifos organophosphate 0.012 mg/L 8 days DTNB solvent_used 25 celsius shoaling collective behaviour duration duration of group behaviour NA NA fig3g khalil_2013_fig3g 1.714286 1.000000 6 6 9.2084367 2.2772277 0.9296743 2.2772277 0.929674325 study reports mean and sd states six fish were placed in recording glass aquarium for social behaviour (section 2.4. Subacute testing) 1.714286 1.000000 6 6 10.1490308 0.8415842 0.3435753 0.8415842 0.343575294 study reports mean and sd states six fish were placed in recording glass aquarium for social behaviour (section 2.4. Subacute testing) NA NA NA NA
NA NA NA KM Alterations in social behavior of Japanese medaka (Oryzias latipes) in response to sublethal chlorpyrifos exposure 10.1016/j.chemosphere.2013.02.042 https://www.sciencedirect.com/science/article/pii/S0045653513003500?via%3Dihub Chemosphere khalil_2013 khalil_2013_exp_001 khalil_2013_exp2_001 khalil_2013_exp_001_assay_009 khalil_2013_exp2_001_assay2_005 Japanese medaka Oryzias latipes laboratory stock from not specified source not_wild not reported chlorpyrifos analytical 2921-88-2 https://commonchemistry.cas.org/detail?cas_rn=2921-88-2&search=chlorpyrifos organophosphate 0.012 mg/L 4 days DTNB solvent_used 25 celsius shoaling collective behaviour frequency frequency of group behaviour count NA fig3h khalil_2013_fig3h 1.714286 1.000000 6 6 54.5151962 44.7368421 18.2637393 44.7368421 18.26373931 study reports mean and sd states six fish were placed in recording glass aquarium for social behaviour (section 2.4. Subacute testing) 1.714286 1.000000 6 6 68.0490307 20.6766917 8.4412241 20.6766917 8.441224051 study reports mean and sd states six fish were placed in recording glass aquarium for social behaviour (section 2.4. Subacute testing) NA NA NA NA
NA NA NA KM Alterations in social behavior of Japanese medaka (Oryzias latipes) in response to sublethal chlorpyrifos exposure 10.1016/j.chemosphere.2013.02.042 https://www.sciencedirect.com/science/article/pii/S0045653513003500?via%3Dihub Chemosphere khalil_2013 khalil_2013_exp_001 khalil_2013_exp2_002 khalil_2013_exp_001_assay_010 khalil_2013_exp2_002_assay2_005 Japanese medaka Oryzias latipes laboratory stock from not specified source not_wild not reported chlorpyrifos analytical 2921-88-2 https://commonchemistry.cas.org/detail?cas_rn=2921-88-2&search=chlorpyrifos organophosphate 0.012 mg/L 8 days DTNB solvent_used 25 celsius shoaling collective behaviour frequency frequency of group behaviour count NA fig3h khalil_2013_fig3h 1.714286 1.000000 6 6 56.3948954 19.1729323 7.8273168 19.1729323 7.827316847 study reports mean and sd states six fish were placed in recording glass aquarium for social behaviour (section 2.4. Subacute testing) 1.714286 1.000000 6 6 57.8986548 7.1428571 2.9160592 7.1428571 2.916059218 study reports mean and sd states six fish were placed in recording glass aquarium for social behaviour (section 2.4. Subacute testing) NA NA NA NA
NA NA NA KM Comparison of social behavior responses of Japanese medaka (Oryzias latipes) to lethal and sublethal chlorpyrifos concentrations at different exposure times 10.1016/j.ecoenv.2017.07.007 https://www.sciencedirect.com/science/article/pii/S0147651317304219?via%3Dihub Ecotoxicology and Environmental Safety khalil_2017 khalil_2017_exp_001 khalil_2017_exp2_001 khalil_2017_exp_001_assay_001 khalil_2017_exp2_001_assay2_001 Japanese medaka Oryzias latipes laboratory stock from not specified source not_wild not reported chlorpyrifos analytical 2921-88-2 https://commonchemistry.cas.org/detail?cas_rn=2921-88-2&search=chlorpyrifos organophosphate 0.012 mg/L 4 days ethanol solvent_used 25 celsius schooling collective behaviour frequency frequency of group behaviour count NA fig1a khalil_2017_fig1a 1.600000 1.000000 4 4 25.1622508 6.5437788 3.2718894 6.5437788 3.271889401 study reports mean and sd exact sample size provided 1.600000 1.000000 4 4 21.6227979 5.9523810 5.9523810 11.9047619 5.952380952 study reports mean and sd exact sample size provided NA NA NA NA
NA NA NA KM Comparison of social behavior responses of Japanese medaka (Oryzias latipes) to lethal and sublethal chlorpyrifos concentrations at different exposure times 10.1016/j.ecoenv.2017.07.007 https://www.sciencedirect.com/science/article/pii/S0147651317304219?via%3Dihub Ecotoxicology and Environmental Safety khalil_2017 khalil_2017_exp_001 khalil_2017_exp2_001 khalil_2017_exp_001_assay_002 khalil_2017_exp2_001_assay2_002 Japanese medaka Oryzias latipes laboratory stock from not specified source not_wild not reported chlorpyrifos analytical 2921-88-2 https://commonchemistry.cas.org/detail?cas_rn=2921-88-2&search=chlorpyrifos organophosphate 0.012 mg/L 8 days ethanol solvent_used 25 celsius schooling collective behaviour frequency frequency of group behaviour count NA fig1a khalil_2017_fig1a 1.600000 1.000000 4 4 13.7336794 1.6589862 0.8294931 1.6589862 0.829493088 study reports mean and sd exact sample size provided 1.600000 1.000000 4 4 18.7974491 4.8387097 4.8387097 9.6774194 4.838709677 study reports mean and sd exact sample size provided NA NA NA NA
NA NA NA KM Comparison of social behavior responses of Japanese medaka (Oryzias latipes) to lethal and sublethal chlorpyrifos concentrations at different exposure times 10.1016/j.ecoenv.2017.07.007 https://www.sciencedirect.com/science/article/pii/S0147651317304219?via%3Dihub Ecotoxicology and Environmental Safety khalil_2017 khalil_2017_exp_001 khalil_2017_exp2_001 khalil_2017_exp_001_assay_003 khalil_2017_exp2_001_assay2_003 Japanese medaka Oryzias latipes laboratory stock from not specified source not_wild not reported chlorpyrifos analytical 2921-88-2 https://commonchemistry.cas.org/detail?cas_rn=2921-88-2&search=chlorpyrifos organophosphate 0.012 mg/L 12 days ethanol solvent_used 25 celsius schooling collective behaviour frequency frequency of group behaviour count NA fig1a khalil_2017_fig1a 1.600000 1.000000 4 4 12.8742828 3.1585253 1.5792627 3.1585253 1.579262673 study reports mean and sd exact sample size provided 1.600000 1.000000 4 4 4.4249237 0.3686636 0.3686636 0.7373272 0.368663594 study reports mean and sd exact sample size provided NA NA NA NA
NA NA NA KM Comparison of social behavior responses of Japanese medaka (Oryzias latipes) to lethal and sublethal chlorpyrifos concentrations at different exposure times 10.1016/j.ecoenv.2017.07.007 https://www.sciencedirect.com/science/article/pii/S0147651317304219?via%3Dihub Ecotoxicology and Environmental Safety khalil_2017 khalil_2017_exp_002 khalil_2017_exp2_002 khalil_2017_exp_002_assay_001 khalil_2017_exp2_002_assay2_001 Japanese medaka Oryzias latipes laboratory stock from not specified source not_wild not reported chlorpyrifos analytical 2921-88-2 https://commonchemistry.cas.org/detail?cas_rn=2921-88-2&search=chlorpyrifos organophosphate 0.12 mg/L 4 days ethanol solvent_used 25 celsius schooling collective behaviour frequency frequency of group behaviour count NA fig1a khalil_2017_fig1a 1.600000 1.000000 4 4 25.1622508 6.5437788 3.2718894 6.5437788 3.271889401 study reports mean and sd exact sample size provided 1.600000 1.000000 4 4 7.6507301 2.1198157 2.1198157 4.2396313 2.119815668 study reports mean and sd exact sample size provided NA NA NA NA
NA NA NA KM Comparison of social behavior responses of Japanese medaka (Oryzias latipes) to lethal and sublethal chlorpyrifos concentrations at different exposure times 10.1016/j.ecoenv.2017.07.007 https://www.sciencedirect.com/science/article/pii/S0147651317304219?via%3Dihub Ecotoxicology and Environmental Safety khalil_2017 khalil_2017_exp_001 khalil_2017_exp2_001 khalil_2017_exp_001_assay_004 khalil_2017_exp2_001_assay2_004 Japanese medaka Oryzias latipes laboratory stock from not specified source not_wild not reported chlorpyrifos analytical 2921-88-2 https://commonchemistry.cas.org/detail?cas_rn=2921-88-2&search=chlorpyrifos organophosphate 0.012 mg/L 4 days ethanol solvent_used 25 celsius schooling collective behaviour duration duration of group behaviour NA NA fig1b khalil_2017_fig1b 1.600000 1.000000 4 4 2.6283093 0.9241877 0.4620939 0.9241877 0.462093863 study reports mean and sd exact sample size provided 1.600000 1.000000 4 4 2.6283093 0.9241877 0.4275572 0.8551143 0.42755716 study reports mean and sd exact sample size provided NA NA NA NA
NA NA NA KM Comparison of social behavior responses of Japanese medaka (Oryzias latipes) to lethal and sublethal chlorpyrifos concentrations at different exposure times 10.1016/j.ecoenv.2017.07.007 https://www.sciencedirect.com/science/article/pii/S0147651317304219?via%3Dihub Ecotoxicology and Environmental Safety khalil_2017 khalil_2017_exp_001 khalil_2017_exp2_001 khalil_2017_exp_001_assay_005 khalil_2017_exp2_001_assay2_005 Japanese medaka Oryzias latipes laboratory stock from not specified source not_wild not reported chlorpyrifos analytical 2921-88-2 https://commonchemistry.cas.org/detail?cas_rn=2921-88-2&search=chlorpyrifos organophosphate 0.012 mg/L 8 days ethanol solvent_used 25 celsius schooling collective behaviour duration duration of group behaviour NA NA fig1b khalil_2017_fig1b 1.600000 1.000000 4 4 1.7179245 0.4049697 0.2024849 0.4049697 0.202484858 study reports mean and sd exact sample size provided 1.600000 1.000000 4 4 1.7179245 0.4049697 1.0384116 2.0768231 1.038411552 study reports mean and sd exact sample size provided NA NA NA NA
NA NA NA KM Comparison of social behavior responses of Japanese medaka (Oryzias latipes) to lethal and sublethal chlorpyrifos concentrations at different exposure times 10.1016/j.ecoenv.2017.07.007 https://www.sciencedirect.com/science/article/pii/S0147651317304219?via%3Dihub Ecotoxicology and Environmental Safety khalil_2017 khalil_2017_exp_001 khalil_2017_exp2_001 khalil_2017_exp_001_assay_006 khalil_2017_exp2_001_assay2_006 Japanese medaka Oryzias latipes laboratory stock from not specified source not_wild not reported chlorpyrifos analytical 2921-88-2 https://commonchemistry.cas.org/detail?cas_rn=2921-88-2&search=chlorpyrifos organophosphate 0.012 mg/L 12 days ethanol solvent_used 25 celsius schooling collective behaviour duration duration of group behaviour NA NA fig1b khalil_2017_fig1b 1.600000 1.000000 4 4 1.8170988 0.4161252 0.2080626 0.4161252 0.208062575 study reports mean and sd exact sample size provided 1.600000 1.000000 4 4 1.8170988 0.4161252 0.0361011 0.0722022 0.036101083 study reports mean and sd exact sample size provided NA NA NA NA
NA NA NA KM Comparison of social behavior responses of Japanese medaka (Oryzias latipes) to lethal and sublethal chlorpyrifos concentrations at different exposure times 10.1016/j.ecoenv.2017.07.007 https://www.sciencedirect.com/science/article/pii/S0147651317304219?via%3Dihub Ecotoxicology and Environmental Safety khalil_2017 khalil_2017_exp_002 khalil_2017_exp2_002 khalil_2017_exp_002_assay_002 khalil_2017_exp2_002_assay2_002 Japanese medaka Oryzias latipes laboratory stock from not specified source not_wild not reported chlorpyrifos analytical 2921-88-2 https://commonchemistry.cas.org/detail?cas_rn=2921-88-2&search=chlorpyrifos organophosphate 0.12 mg/L 4 days ethanol solvent_used 25 celsius schooling collective behaviour duration duration of group behaviour NA NA fig1b khalil_2017_fig1b 1.600000 1.000000 4 4 2.6283093 0.9241877 0.4620939 0.9241877 0.462093863 study reports mean and sd exact sample size provided 1.600000 1.000000 4 4 2.6283093 0.9241877 0.0476534 0.0953069 0.04765343 study reports mean and sd exact sample size provided NA NA NA NA
NA NA NA KM Comparison of social behavior responses of Japanese medaka (Oryzias latipes) to lethal and sublethal chlorpyrifos concentrations at different exposure times 10.1016/j.ecoenv.2017.07.007 https://www.sciencedirect.com/science/article/pii/S0147651317304219?via%3Dihub Ecotoxicology and Environmental Safety khalil_2017 khalil_2017_exp_001 khalil_2017_exp2_001 khalil_2017_exp_001_assay_007 khalil_2017_exp2_001_assay2_007 Japanese medaka Oryzias latipes laboratory stock from not specified source not_wild not reported chlorpyrifos analytical 2921-88-2 https://commonchemistry.cas.org/detail?cas_rn=2921-88-2&search=chlorpyrifos organophosphate 0.012 mg/L 4 days ethanol solvent_used 25 celsius shoaling collective behaviour frequency frequency of group behaviour count NA fig1c khalil_2017_fig1c 1.600000 1.000000 4 4 32.7539254 5.2864608 2.6432304 5.2864608 2.643230404 study reports mean and sd exact sample size provided 1.600000 1.000000 4 4 28.2736546 6.6555819 3.3277910 6.6555819 3.327790974 study reports mean and sd exact sample size provided NA NA NA NA
NA NA NA KM Comparison of social behavior responses of Japanese medaka (Oryzias latipes) to lethal and sublethal chlorpyrifos concentrations at different exposure times 10.1016/j.ecoenv.2017.07.007 https://www.sciencedirect.com/science/article/pii/S0147651317304219?via%3Dihub Ecotoxicology and Environmental Safety khalil_2017 khalil_2017_exp_001 khalil_2017_exp2_001 khalil_2017_exp_001_assay_008 khalil_2017_exp2_001_assay2_008 Japanese medaka Oryzias latipes laboratory stock from not specified source not_wild not reported chlorpyrifos analytical 2921-88-2 https://commonchemistry.cas.org/detail?cas_rn=2921-88-2&search=chlorpyrifos organophosphate 0.012 mg/L 8 days ethanol solvent_used 25 celsius shoaling collective behaviour frequency frequency of group behaviour count NA fig1c khalil_2017_fig1c 1.600000 1.000000 4 4 20.1702236 2.2992874 1.1496437 2.2992874 1.149643705 study reports mean and sd exact sample size provided 1.600000 1.000000 4 4 20.8205371 6.1325416 3.0662708 6.1325416 3.066270784 study reports mean and sd exact sample size provided NA NA NA NA
NA NA NA KM Comparison of social behavior responses of Japanese medaka (Oryzias latipes) to lethal and sublethal chlorpyrifos concentrations at different exposure times 10.1016/j.ecoenv.2017.07.007 https://www.sciencedirect.com/science/article/pii/S0147651317304219?via%3Dihub Ecotoxicology and Environmental Safety khalil_2017 khalil_2017_exp_001 khalil_2017_exp2_001 khalil_2017_exp_001_assay_009 khalil_2017_exp2_001_assay2_009 Japanese medaka Oryzias latipes laboratory stock from not specified source not_wild not reported chlorpyrifos analytical 2921-88-2 https://commonchemistry.cas.org/detail?cas_rn=2921-88-2&search=chlorpyrifos organophosphate 0.012 mg/L 12 days ethanol solvent_used 25 celsius shoaling collective behaviour frequency frequency of group behaviour count NA fig1c khalil_2017_fig1c 1.600000 1.000000 4 4 15.1612349 3.3583531 1.6791766 3.3583531 1.679176564 study reports mean and sd exact sample size provided 1.600000 1.000000 4 4 14.1766689 2.9878068 1.4939034 2.9878068 1.493903405 study reports mean and sd exact sample size provided NA NA NA NA
NA NA NA KM Comparison of social behavior responses of Japanese medaka (Oryzias latipes) to lethal and sublethal chlorpyrifos concentrations at different exposure times 10.1016/j.ecoenv.2017.07.007 https://www.sciencedirect.com/science/article/pii/S0147651317304219?via%3Dihub Ecotoxicology and Environmental Safety khalil_2017 khalil_2017_exp_002 khalil_2017_exp2_002 khalil_2017_exp_002_assay_003 khalil_2017_exp2_002_assay2_003 Japanese medaka Oryzias latipes laboratory stock from not specified source not_wild not reported chlorpyrifos analytical 2921-88-2 https://commonchemistry.cas.org/detail?cas_rn=2921-88-2&search=chlorpyrifos organophosphate 0.12 mg/L 4 days ethanol solvent_used 25 celsius shoaling collective behaviour frequency frequency of group behaviour count NA fig1c khalil_2017_fig1c 1.600000 1.000000 4 4 32.7539254 5.2864608 2.6432304 5.2864608 2.643230404 study reports mean and sd exact sample size provided 1.600000 1.000000 4 4 13.0943802 4.5160728 2.2580364 4.5160728 2.258036421 study reports mean and sd exact sample size provided NA NA NA NA
NA NA NA KM Comparison of social behavior responses of Japanese medaka (Oryzias latipes) to lethal and sublethal chlorpyrifos concentrations at different exposure times 10.1016/j.ecoenv.2017.07.007 https://www.sciencedirect.com/science/article/pii/S0147651317304219?via%3Dihub Ecotoxicology and Environmental Safety khalil_2017 khalil_2017_exp_001 khalil_2017_exp2_001 khalil_2017_exp_001_assay_010 khalil_2017_exp2_001_assay2_010 Japanese medaka Oryzias latipes laboratory stock from not specified source not_wild not reported chlorpyrifos analytical 2921-88-2 https://commonchemistry.cas.org/detail?cas_rn=2921-88-2&search=chlorpyrifos organophosphate 0.012 mg/L 4 days ethanol solvent_used 25 celsius shoaling collective behaviour duration duration of group behaviour NA NA fig1d khalil_2017_fig1d 1.600000 1.000000 4 4 32.7539254 5.2864608 2.6432304 5.2864608 2.643230404 study reports mean and sd exact sample size provided 1.600000 1.000000 4 4 28.2736546 6.6555819 3.3277910 6.6555819 3.327790974 study reports mean and sd exact sample size provided NA NA NA NA
NA NA NA KM Comparison of social behavior responses of Japanese medaka (Oryzias latipes) to lethal and sublethal chlorpyrifos concentrations at different exposure times 10.1016/j.ecoenv.2017.07.007 https://www.sciencedirect.com/science/article/pii/S0147651317304219?via%3Dihub Ecotoxicology and Environmental Safety khalil_2017 khalil_2017_exp_001 khalil_2017_exp2_001 khalil_2017_exp_001_assay_011 khalil_2017_exp2_001_assay2_011 Japanese medaka Oryzias latipes laboratory stock from not specified source not_wild not reported chlorpyrifos analytical 2921-88-2 https://commonchemistry.cas.org/detail?cas_rn=2921-88-2&search=chlorpyrifos organophosphate 0.012 mg/L 8 days ethanol solvent_used 25 celsius shoaling collective behaviour duration duration of group behaviour NA NA fig1d khalil_2017_fig1d 1.600000 1.000000 4 4 20.1702236 2.2992874 1.1496437 2.2992874 1.149643705 study reports mean and sd exact sample size provided 1.600000 1.000000 4 4 20.8205371 6.1325416 3.0662708 6.1325416 3.066270784 study reports mean and sd exact sample size provided NA NA NA NA
NA NA NA KM Comparison of social behavior responses of Japanese medaka (Oryzias latipes) to lethal and sublethal chlorpyrifos concentrations at different exposure times 10.1016/j.ecoenv.2017.07.007 https://www.sciencedirect.com/science/article/pii/S0147651317304219?via%3Dihub Ecotoxicology and Environmental Safety khalil_2017 khalil_2017_exp_001 khalil_2017_exp2_001 khalil_2017_exp_001_assay_012 khalil_2017_exp2_001_assay2_012 Japanese medaka Oryzias latipes laboratory stock from not specified source not_wild not reported chlorpyrifos analytical 2921-88-2 https://commonchemistry.cas.org/detail?cas_rn=2921-88-2&search=chlorpyrifos organophosphate 0.012 mg/L 12 days ethanol solvent_used 25 celsius shoaling collective behaviour duration duration of group behaviour NA NA fig1d khalil_2017_fig1d 1.600000 1.000000 4 4 15.1612349 3.3583531 1.6791766 3.3583531 1.679176564 study reports mean and sd exact sample size provided 1.600000 1.000000 4 4 14.1766689 2.9878068 1.4939034 2.9878068 1.493903405 study reports mean and sd exact sample size provided NA NA NA NA
NA NA NA KM Comparison of social behavior responses of Japanese medaka (Oryzias latipes) to lethal and sublethal chlorpyrifos concentrations at different exposure times 10.1016/j.ecoenv.2017.07.007 https://www.sciencedirect.com/science/article/pii/S0147651317304219?via%3Dihub Ecotoxicology and Environmental Safety khalil_2017 khalil_2017_exp_002 khalil_2017_exp2_002 khalil_2017_exp_002_assay_004 khalil_2017_exp2_002_assay2_004 Japanese medaka Oryzias latipes laboratory stock from not specified source not_wild not reported chlorpyrifos analytical 2921-88-2 https://commonchemistry.cas.org/detail?cas_rn=2921-88-2&search=chlorpyrifos organophosphate 0.12 mg/L 4 days ethanol solvent_used 25 celsius shoaling collective behaviour duration duration of group behaviour NA NA fig1d khalil_2017_fig1d 1.600000 1.000000 4 4 32.7539254 5.2864608 2.6432304 5.2864608 2.643230404 study reports mean and sd exact sample size provided 1.600000 1.000000 4 4 13.0943802 4.5160728 2.2580364 4.5160728 2.258036421 study reports mean and sd exact sample size provided NA NA NA NA
NA NA YY KM New evidence for neurobehavioral toxicity of deltamethrin at environmentally relevant levels in zebrafish 10.1016/j.scitotenv.2022.153623 https://www.sciencedirect.com/science/article/pii/S004896972200715X#:~:text=Taken%20together%2C%20deltamethrin%20exposure%20increased,social%20behaviors%20in%20adult%20zebrafish. Science of The Total Environment lei_2022 lei_2022_exp_001 lei_2022_exp2_001 lei_2022_exp_001_assay_001 lei_2022_exp2_001_assay2_001 zebrafish Danio rerio laboratory stock from not specified source not_wild female deltamethrin analytical 52918-63-5 in paper pyrethroid 30 ng/L 21 days DMSO solvent_used 28 celsius social preference sociality proportion of time in near zone time spent in social zone zone NA fig1a lei_2022_fig1a NA NA NA 16 67.7652167 5.6063447 NA NA 1.401586177 study reports boxplot exact sample size provided NA NA NA 16 71.5867192 4.3421273 NA NA 1.085531837 study reports boxplot exact sample size provided NA NA NA NA
NA NA YY KM New evidence for neurobehavioral toxicity of deltamethrin at environmentally relevant levels in zebrafish 10.1016/j.scitotenv.2022.153623 https://www.sciencedirect.com/science/article/pii/S004896972200715X#:~:text=Taken%20together%2C%20deltamethrin%20exposure%20increased,social%20behaviors%20in%20adult%20zebrafish. Science of The Total Environment lei_2022 lei_2022_exp_002 lei_2022_exp2_002 lei_2022_exp_002_assay_001 lei_2022_exp2_002_assay2_001 zebrafish Danio rerio laboratory stock from not specified source not_wild female deltamethrin analytical 52918-63-5 in paper pyrethroid 100 ng/L 21 days DMSO solvent_used 28 celsius social preference sociality proportion of time in near zone time spent in social zone zone NA fig1a lei_2022_fig1a NA NA NA 16 67.7652167 5.6063447 NA NA 1.401586177 study reports boxplot exact sample size provided NA NA NA 16 71.7727601 4.0249352 NA NA 1.006233793 study reports boxplot exact sample size provided NA NA NA NA
NA NA YY KM New evidence for neurobehavioral toxicity of deltamethrin at environmentally relevant levels in zebrafish 10.1016/j.scitotenv.2022.153623 https://www.sciencedirect.com/science/article/pii/S004896972200715X#:~:text=Taken%20together%2C%20deltamethrin%20exposure%20increased,social%20behaviors%20in%20adult%20zebrafish. Science of The Total Environment lei_2022 lei_2022_exp_003 lei_2022_exp2_003 lei_2022_exp_003_assay_001 lei_2022_exp2_003_assay2_001 zebrafish Danio rerio laboratory stock from not specified source not_wild female deltamethrin analytical 52918-63-5 in paper pyrethroid 333 ng/L 21 days DMSO solvent_used 28 celsius social preference sociality proportion of time in near zone time spent in social zone zone NA fig1a lei_2022_fig1a NA NA NA 16 67.7652167 5.6063447 NA NA 1.401586177 study reports boxplot exact sample size provided NA NA NA 16 70.8589712 4.6576603 NA NA 1.164415072 study reports boxplot exact sample size provided NA NA NA NA
NA NA YY KM New evidence for neurobehavioral toxicity of deltamethrin at environmentally relevant levels in zebrafish 10.1016/j.scitotenv.2022.153623 https://www.sciencedirect.com/science/article/pii/S004896972200715X#:~:text=Taken%20together%2C%20deltamethrin%20exposure%20increased,social%20behaviors%20in%20adult%20zebrafish. Science of The Total Environment lei_2022 lei_2022_exp_001 lei_2022_exp2_004 lei_2022_exp_001_assay_002 lei_2022_exp2_004_assay2_001 zebrafish Danio rerio laboratory stock from not specified source not_wild female deltamethrin analytical 52918-63-6 in paper pyrethroid 30 ng/L 21 days DMSO solvent_used 28 celsius shoaling collective behaviour nearest neighbour distance group arrangment NA change fig2b lei_2022_fig2b 5.333330 3.000000 24 24 0.2164954 0.0320216 0.0359223 0.1016036 0.02073975 study reports boxplot calculated effective sample size from Rutkowska et al., 2014 (ICC assumed at 0.5) 4.500000 3.000000 24 24 0.2413325 0.0395154 0.0432253 0.1222597 0.024956164 study reports boxplot calculated effective sample size from Rutkowska et al., 2014 (ICC assumed at 0.5) NA NA NA NA
NA NA YY KM New evidence for neurobehavioral toxicity of deltamethrin at environmentally relevant levels in zebrafish 10.1016/j.scitotenv.2022.153623 https://www.sciencedirect.com/science/article/pii/S004896972200715X#:~:text=Taken%20together%2C%20deltamethrin%20exposure%20increased,social%20behaviors%20in%20adult%20zebrafish. Science of The Total Environment lei_2022 lei_2022_exp_002 lei_2022_exp2_005 lei_2022_exp_002_assay_002 lei_2022_exp2_005_assay2_001 zebrafish Danio rerio laboratory stock from not specified source not_wild female deltamethrin analytical 52918-63-7 in paper pyrethroid 100 ng/L 21 days DMSO solvent_used 28 celsius shoaling collective behaviour nearest neighbour distance group arrangment NA change fig2b lei_2022_fig2b 5.333330 3.000000 24 24 0.2164954 0.0320216 0.0359223 0.1016036 0.02073975 study reports boxplot calculated effective sample size from Rutkowska et al., 2014 (ICC assumed at 0.5) 4.500000 3.000000 24 24 0.2036391 0.0185236 0.0198888 0.0562540 0.0114828 study reports boxplot calculated effective sample size from Rutkowska et al., 2014 (ICC assumed at 0.5) NA NA NA NA
NA NA YY KM New evidence for neurobehavioral toxicity of deltamethrin at environmentally relevant levels in zebrafish 10.1016/j.scitotenv.2022.153623 https://www.sciencedirect.com/science/article/pii/S004896972200715X#:~:text=Taken%20together%2C%20deltamethrin%20exposure%20increased,social%20behaviors%20in%20adult%20zebrafish. Science of The Total Environment lei_2022 lei_2022_exp_003 lei_2022_exp2_006 lei_2022_exp_003_assay_002 lei_2022_exp2_006_assay2_001 zebrafish Danio rerio laboratory stock from not specified source not_wild female deltamethrin analytical 52918-63-8 in paper pyrethroid 333 ng/L 21 days DMSO solvent_used 28 celsius shoaling collective behaviour nearest neighbour distance group arrangment NA change fig2b lei_2022_fig2b 5.333330 3.000000 24 24 0.2164954 0.0320216 0.0359223 0.1016036 0.02073975 study reports boxplot calculated effective sample size from Rutkowska et al., 2014 (ICC assumed at 0.5) 4.500000 3.000000 24 24 0.2257956 0.0230866 0.0241803 0.0683923 0.01396052 study reports boxplot calculated effective sample size from Rutkowska et al., 2014 (ICC assumed at 0.5) NA NA NA NA
NA NA YY KM New evidence for neurobehavioral toxicity of deltamethrin at environmentally relevant levels in zebrafish 10.1016/j.scitotenv.2022.153623 https://www.sciencedirect.com/science/article/pii/S004896972200715X#:~:text=Taken%20together%2C%20deltamethrin%20exposure%20increased,social%20behaviors%20in%20adult%20zebrafish. Science of The Total Environment lei_2022 lei_2022_exp_001 lei_2022_exp2_004 lei_2022_exp_001_assay_003 lei_2022_exp2_004_assay2_002 zebrafish Danio rerio laboratory stock from not specified source not_wild female deltamethrin analytical 52918-63-9 in paper pyrethroid 30 ng/L 21 days DMSO solvent_used 28 celsius shoaling collective behaviour inter individual difference group arrangment NA change fig2c lei_2022_fig2c 5.333330 3.000000 24 24 0.1117781 0.0228166 0.1275315 0.3607136 0.073630358 study reports boxplot calculated effective sample size from Rutkowska et al., 2014 (ICC assumed at 0.5) 4.500000 3.000000 24 24 0.1594948 0.0325567 0.1675055 0.4737772 0.096709364 study reports boxplot calculated effective sample size from Rutkowska et al., 2014 (ICC assumed at 0.5) NA NA NA NA
NA NA YY KM New evidence for neurobehavioral toxicity of deltamethrin at environmentally relevant levels in zebrafish 10.1016/j.scitotenv.2022.153623 https://www.sciencedirect.com/science/article/pii/S004896972200715X#:~:text=Taken%20together%2C%20deltamethrin%20exposure%20increased,social%20behaviors%20in%20adult%20zebrafish. Science of The Total Environment lei_2022 lei_2022_exp_002 lei_2022_exp2_005 lei_2022_exp_002_assay_003 lei_2022_exp2_005_assay2_002 zebrafish Danio rerio laboratory stock from not specified source not_wild female deltamethrin analytical 52918-63-10 in paper pyrethroid 100 ng/L 21 days DMSO solvent_used 28 celsius shoaling collective behaviour inter individual difference group arrangment NA change fig2c lei_2022_fig2c 5.333330 3.000000 24 24 0.1117781 0.0228166 0.1275315 0.3607136 0.073630358 study reports boxplot calculated effective sample size from Rutkowska et al., 2014 (ICC assumed at 0.5) 4.500000 3.000000 24 24 0.1511267 0.0308486 0.1643491 0.4648494 0.094886987 study reports boxplot calculated effective sample size from Rutkowska et al., 2014 (ICC assumed at 0.5) NA NA NA NA
NA NA YY KM New evidence for neurobehavioral toxicity of deltamethrin at environmentally relevant levels in zebrafish 10.1016/j.scitotenv.2022.153623 https://www.sciencedirect.com/science/article/pii/S004896972200715X#:~:text=Taken%20together%2C%20deltamethrin%20exposure%20increased,social%20behaviors%20in%20adult%20zebrafish. Science of The Total Environment lei_2022 lei_2022_exp_003 lei_2022_exp2_006 lei_2022_exp_003_assay_003 lei_2022_exp2_006_assay2_002 zebrafish Danio rerio laboratory stock from not specified source not_wild female deltamethrin analytical 52918-63-11 in paper pyrethroid 333 ng/L 21 days DMSO solvent_used 28 celsius shoaling collective behaviour inter individual difference group arrangment NA change fig2c lei_2022_fig2c 5.333330 3.000000 24 24 0.1117781 0.0228166 0.1275315 0.3607136 0.073630358 study reports boxplot calculated effective sample size from Rutkowska et al., 2014 (ICC assumed at 0.5) 4.500000 3.000000 24 24 0.1182762 0.0241430 0.1329097 0.3759255 0.076735472 study reports boxplot calculated effective sample size from Rutkowska et al., 2014 (ICC assumed at 0.5) NA NA NA NA
NA NA NA KM Swimming under Pressure: The Sub-Lethal Effects of a Pesticide on the Behaviour of Native and Non-Native Cypriniformes Fish 10.3390/fishes8090462<a0> https://www.mdpi.com/2410-3888/8/9/462 Fishes leite_2023 leite_2023_exp_001 leite_2023_exp2_001 leite_2023_exp_001_assay_001 leite_2023_exp2_001_assay2_001 Iberian barbel Luciobarbus bocagei wild collected wild not reported esfenvalerate commercial 66230-04-4 https://commonchemistry.cas.org/detail?cas_rn=66230-04-4&search=esfenvalerate pyrethroid 1.2 ug/L 2 hours not reported NA not reported not reported shoaling collective behaviour cohesion group arrangment NA change in_text leite_2023_in_text 4.800000 3.000000 12 12 0.8130000 0.4535143 0.3585345 0.7170690 0.207 study does not state error type used, so we assumed to be SE calculated effective sample size from Rutkowska et al., 2014 (ICC assumed at 0.5) 4.800000 3.000000 12 12 0.7050000 0.4666596 0.3689268 0.7378536 0.213 study does not state error type used, so we assumed to be SE calculated effective sample size from Rutkowska et al., 2014 (ICC assumed at 0.5) NA NA NA NA
NA NA NA KM Swimming under Pressure: The Sub-Lethal Effects of a Pesticide on the Behaviour of Native and Non-Native Cypriniformes Fish 10.3390/fishes8090462<a0> https://www.mdpi.com/2410-3888/8/9/462 Fishes leite_2023 leite_2023_exp_002 leite_2023_exp2_002 leite_2023_exp_002_assay_001 leite_2023_exp2_002_assay2_001 Iberian barbel Luciobarbus bocagei wild collected wild not reported esfenvalerate commercial 66230-04-4 https://commonchemistry.cas.org/detail?cas_rn=66230-04-4&search=esfenvalerate pyrethroid 2 ug/L 2 hours not reported NA not reported not reported shoaling collective behaviour cohesion group arrangment NA change in_text leite_2023_in_text 4.800000 3.000000 12 12 0.8130000 0.4535143 0.3585345 0.7170690 0.207 study does not state error type used, so we assumed to be SE calculated effective sample size from Rutkowska et al., 2014 (ICC assumed at 0.5) 4.800000 3.000000 12 12 0.7110000 0.4622778 0.3654627 0.7309254 0.211 study does not state error type used, so we assumed to be SE calculated effective sample size from Rutkowska et al., 2014 (ICC assumed at 0.5) NA NA NA NA
NA NA NA KM Swimming under Pressure: The Sub-Lethal Effects of a Pesticide on the Behaviour of Native and Non-Native Cypriniformes Fish 10.3390/fishes8090462<a0> https://www.mdpi.com/2410-3888/8/9/462 Fishes leite_2023 leite_2023_exp_003 leite_2023_exp2_003 leite_2023_exp_003_assay_001 leite_2023_exp2_003_assay2_001 Bleak Alburnus alburnus wild collected wild not reported esfenvalerate commercial 66230-04-4 https://commonchemistry.cas.org/detail?cas_rn=66230-04-4&search=esfenvalerate pyrethroid 1.2 ug/L 2 hours not reported NA not reported not reported shoaling collective behaviour cohesion group arrangment NA change in_text leite_2023_in_text 4.800000 3.000000 12 12 0.3111064 0.2840000 0.2459512 0.4919024 0.142 study does not state error type used, so we assumed to be SE calculated effective sample size from Rutkowska et al., 2014 (ICC assumed at 0.5) 4.800000 3.000000 12 12 0.9580000 0.3111064 0.2459512 0.4919024 0.142 study does not state error type used, so we assumed to be SE calculated effective sample size from Rutkowska et al., 2014 (ICC assumed at 0.5) NA NA NA NA
NA NA NA KM Swimming under Pressure: The Sub-Lethal Effects of a Pesticide on the Behaviour of Native and Non-Native Cypriniformes Fish 10.3390/fishes8090462<a0> https://www.mdpi.com/2410-3888/8/9/462 Fishes leite_2023 leite_2023_exp_004 leite_2023_exp2_004 leite_2023_exp_004_assay_001 leite_2023_exp2_004_assay2_001 Bleak Alburnus alburnus wild collected wild not reported esfenvalerate commercial 66230-04-4 https://commonchemistry.cas.org/detail?cas_rn=66230-04-4&search=esfenvalerate pyrethroid 2 ug/L 2 hours not reported NA not reported not reported shoaling collective behaviour cohesion group arrangment NA change in_text leite_2023_in_text 4.800000 3.000000 12 12 0.3111064 0.2840000 0.2459512 0.4919024 0.142 study does not state error type used, so we assumed to be SE calculated effective sample size from Rutkowska et al., 2014 (ICC assumed at 0.5) 4.800000 3.000000 12 12 0.8960000 0.4031238 0.3186973 0.6373947 0.184 study does not state error type used, so we assumed to be SE calculated effective sample size from Rutkowska et al., 2014 (ICC assumed at 0.5) NA NA NA NA
states inter-fish distance as social and I would classify this as shoaling NA NA KM DDT and titanium dioxide nanoparticle coexposure induced neurobehavioral deficits in zebrafish 10.1016/j.ntt.2024.107323 https://www.sciencedirect.com/science/article/pii/S0892036224000059?via%3Dihub NA lin_2024 lin_2024_exp_001 lin_2024_exp2_001 lin_2024_exp_001_assay_001 lin_2024_exp2_001_assay2_001 zebrafish Danio rerio laboratory stock from not specified source not_wild female DDT analytical P-029NB-250 in paper organochlorine 5 nm 40 days DMSO solvent_used 28 celsius social interaction collective behaviour inter-individual distance group arrangment NA change fig3d lin_2024_fig3d 3.200000 2.000000 8 2 26.8768721 0.6609307 0.6609307 1.3218615 0.467348605 study reports mean and sd calculated effective sample size from Rutkowska et al., 2014 (ICC assumed at 0.5) 2.500000 2.000000 8 2 22.7407249 0.6822511 0.6822511 1.3645022 0.482424367 study reports mean and sd calculated effective sample size from Rutkowska et al., 2014 (ICC assumed at 0.5) NA NA NA NA
NA NA NA KM DDT and titanium dioxide nanoparticle coexposure induced neurobehavioral deficits in zebrafish 10.1016/j.ntt.2024.107323 https://www.sciencedirect.com/science/article/pii/S0892036224000059?via%3Dihub NA lin_2024 lin_2024_exp_002 lin_2024_exp2_002 lin_2024_exp_002_assay_001 lin_2024_exp2_002_assay2_001 zebrafish Danio rerio laboratory stock from not specified source not_wild male DDT analytical P-029NB-250 in paper organochlorine 5 nm 40 days DMSO solvent_used 28 celsius social interaction collective behaviour inter-individual distance group arrangment NA change fig3d lin_2024_fig3d 3.200000 2.000000 8 2 24.5276826 0.5636322 0.5636322 1.1272645 0.39854817 study reports mean and sd calculated effective sample size from Rutkowska et al., 2014 (ICC assumed at 0.5) 2.500000 2.000000 8 2 24.0457362 0.6616552 0.6616552 1.3233104 0.467860896 study reports mean and sd calculated effective sample size from Rutkowska et al., 2014 (ICC assumed at 0.5) NA NA NA NA
NA NA NA KM DDT and titanium dioxide nanoparticle coexposure induced neurobehavioral deficits in zebrafish 10.1016/j.ntt.2024.107323 https://www.sciencedirect.com/science/article/pii/S0892036224000059?via%3Dihub NA lin_2024 lin_2024_exp_001 lin_2024_exp2_003 lin_2024_exp_001_assay_002 lin_2024_exp2_003_assay2_001 zebrafish Danio rerio laboratory stock from not specified source not_wild female DDT analytical P-029NB-250 in paper organochlorine 5 nm 40 days DMSO solvent_used 28 celsius social interaction sociality time in contact percentage time spent with live fish NA NA fig3c lin_2024_fig3c NA NA NA 8 11.9623969 0.2969048 NA NA 0.104971685 study reports mean and sd calculated effective sample size from Rutkowska et al., 2014 (ICC assumed at 0.5) NA NA NA 8 11.7371588 0.2610714 NA NA 0.092302689 study reports mean and sd calculated effective sample size from Rutkowska et al., 2014 (ICC assumed at 0.5) NA NA NA NA
NA NA NA KM DDT and titanium dioxide nanoparticle coexposure induced neurobehavioral deficits in zebrafish 10.1016/j.ntt.2024.107323 https://www.sciencedirect.com/science/article/pii/S0892036224000059?via%3Dihub NA lin_2024 lin_2024_exp_002 lin_2024_exp2_004 lin_2024_exp_002_assay_002 lin_2024_exp2_004_assay2_001 zebrafish Danio rerio laboratory stock from not specified source not_wild male DDT analytical P-029NB-250 in paper organochlorine 5 nm 40 days DMSO solvent_used 28 celsius social interaction sociality time in contact percentage time spent with live fish NA NA fig3c lin_2024_fig3c NA NA NA 8 12.7914032 0.2208333 NA NA 0.078076374 study reports mean and sd calculated effective sample size from Rutkowska et al., 2014 (ICC assumed at 0.5) NA NA NA 8 11.6809270 0.3470238 NA NA 0.122691444 study reports mean and sd calculated effective sample size from Rutkowska et al., 2014 (ICC assumed at 0.5) NA NA NA NA
stated mirror bites as social and I would classify as aggression NA NA KM DDT and titanium dioxide nanoparticle coexposure induced neurobehavioral deficits in zebrafish 10.1016/j.ntt.2024.107323 https://www.sciencedirect.com/science/article/pii/S0892036224000059?via%3Dihub NA lin_2024 lin_2024_exp_001 lin_2024_exp2_005 lin_2024_exp_001_assay_003 lin_2024_exp2_005_assay2_001 zebrafish Danio rerio laboratory stock from not specified source not_wild female DDT analytical P-029NB-250 in paper organochlorine 5 nm 40 days DMSO solvent_used 28 celsius social interaction aggression mirror attack per minute frequency of aggressive behaviour count NA fig3e lin_2024_fig3e NA NA NA 12 23.9643904 2.7620853 NA NA 0.797345348 study reports mean and sd exact sample size provided NA NA NA 12 35.7255278 4.0985782 NA NA 1.183157613 study reports mean and sd exact sample size provided NA NA NA NA
NA NA NA KM DDT and titanium dioxide nanoparticle coexposure induced neurobehavioral deficits in zebrafish 10.1016/j.ntt.2024.107323 https://www.sciencedirect.com/science/article/pii/S0892036224000059?via%3Dihub NA lin_2024 lin_2024_exp_002 lin_2024_exp2_006 lin_2024_exp_002_assay_003 lin_2024_exp2_006_assay2_001 zebrafish Danio rerio laboratory stock from not specified source not_wild male DDT analytical P-029NB-250 in paper organochlorine 5 nm 40 days DMSO solvent_used 28 celsius social interaction aggression mirror attack per minute frequency of aggressive behaviour count NA fig3e lin_2024_fig3e NA NA NA 12 39.2094239 5.2042654 NA NA 1.502342016 study reports mean and sd exact sample size provided NA NA NA 12 30.4108457 3.9687204 NA NA 1.14567089 study reports mean and sd exact sample size provided NA NA NA NA
NA NA NA KM Fenpropathrin causes alterations in locomotion and social behaviors in zebrafish (Danio rerio) 10.1016/j.aquatox.2023.106756 https://www.sciencedirect.com/science/article/pii/S0166445X23003582?via%3Dihub Aquatic Toxicology liu_2023 liu_2023_exp_001 liu_2023_exp2_001 liu_2023_exp_001_assay_001 liu_2023_exp2_001_assay2_001 zebrafish Danio rerio laboratory stock from not specified source not_wild mixed fenpropathrin not reported 39,515<96>41<96>8 in paper pyrethroid 500 ppb 72 hours DMSO solvent_used 28 celsius social preference sociality time in conspecific segment time spent in social zone zone NA fig3e liu_2023_fig3e NA NA NA 10 408.9260085 418.2034951 NA NA 132.247557 study reports mean and se exact sample size provided NA NA NA 10 542.6038649 580.1835287 NA NA 183.4701412 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Fenpropathrin causes alterations in locomotion and social behaviors in zebrafish (Danio rerio) 10.1016/j.aquatox.2023.106756 https://www.sciencedirect.com/science/article/pii/S0166445X23003582?via%3Dihub Aquatic Toxicology liu_2023 liu_2023_exp_001 liu_2023_exp2_002 liu_2023_exp_001_assay_002 liu_2023_exp2_002_assay2_001 zebrafish Danio rerio laboratory stock from not specified source not_wild mixed fenpropathrin not reported 39,515<96>41<96>8 in paper pyrethroid 500 ppb 72 hours DMSO solvent_used 28 celsius fighting aggression duration of fight control vs fenpropathrin duration of aggressive behaviour NA NA fig5c liu_2023_fig5c NA NA NA 13 388.1335352 204.6781894 NA NA 56.76751592 study reports mean and se exact sample size provided NA NA NA 10 212.9291478 180.9413651 NA NA 57.21868365 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Fenpropathrin causes alterations in locomotion and social behaviors in zebrafish (Danio rerio) 10.1016/j.aquatox.2023.106756 https://www.sciencedirect.com/science/article/pii/S0166445X23003582?via%3Dihub Aquatic Toxicology liu_2023 liu_2023_exp_001 liu_2023_exp2_002 liu_2023_exp_001_assay_003 liu_2023_exp2_002_assay2_002 zebrafish Danio rerio laboratory stock from not specified source not_wild mixed fenpropathrin not reported 39,515<96>41<96>8 in paper pyrethroid 500 ppb 72 hours DMSO solvent_used 28 celsius fighting aggression biting numbers frequency of aggressive behaviour count NA fig5f liu_2023_fig5f NA NA NA 8 277.9932098 86.5616551 NA NA 30.60416667 study reports mean and se exact sample size provided NA NA NA 10 219.9341103 80.6710207 NA NA 25.51041667 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Integrate transcriptomic and metabolomic analysis reveals the underlying mechanisms of behavioral disorders in zebrafish (Danio rerio) induced by imidacloprid 10.1016/j.scitotenv.2023.161541 https://www.sciencedirect.com/science/article/pii/S0048969723001560?via%3Dihub NA liu_2023a liu_2023a_exp_001 liu_2023a_exp2_001 liu_2023a_exp_001_assay_001 liu_2023a_exp2_001_assay2_001 zebrafish Danio rerio commercial supplier wild not reported imidacloprid analytical 138261-41-3 https://commonchemistry.cas.org/detail?cas_rn=138261-41-3&search=imidacloprid neonicotinoid 1 ug/L 21 days not reported NA 26 celsius social interaction sociality time spent in conspecific zone time spent in social zone zone NA fig3e liu_2023a_3e NA NA NA 14 258.3014343 31.0746713 NA NA 8.305055233 caluclated difference in zone 2 and 1 states range of sample sizes so selected lowest NA NA NA 14 263.8601587 33.8996414 NA NA 9.060060255 caluclated difference in zone 2 and 1 states range of sample sizes so selected lowest NA NA NA NA
NA NA NA KM Integrate transcriptomic and metabolomic analysis reveals the underlying mechanisms of behavioral disorders in zebrafish (Danio rerio) induced by imidacloprid 10.1016/j.scitotenv.2023.161541 https://www.sciencedirect.com/science/article/pii/S0048969723001560?via%3Dihub NA liu_2023a liu_2023a_exp_002 liu_2023a_exp2_002 liu_2023a_exp_002_assay_001 liu_2023a_exp2_002_assay2_001 zebrafish Danio rerio commercial supplier wild not reported imidacloprid analytical 138261-41-3 https://commonchemistry.cas.org/detail?cas_rn=138261-41-3&search=imidacloprid neonicotinoid 10 ug/L 21 days not reported NA 26 celsius social interaction sociality time spent in conspecific zone time spent in social zone zone NA fig3e liu_2023a_3e NA NA NA 14 258.3014343 31.0746713 NA NA 8.305055233 caluclated difference in zone 2 and 1 states range of sample sizes so selected lowest NA NA NA 14 271.1182344 40.9620667 NA NA 10.94757281 caluclated difference in zone 2 and 1 states range of sample sizes so selected lowest NA NA NA NA
NA NA NA KM Integrate transcriptomic and metabolomic analysis reveals the underlying mechanisms of behavioral disorders in zebrafish (Danio rerio) induced by imidacloprid 10.1016/j.scitotenv.2023.161541 https://www.sciencedirect.com/science/article/pii/S0048969723001560?via%3Dihub NA liu_2023a liu_2023a_exp_003 liu_2023a_exp2_003 liu_2023a_exp_003_assay_001 liu_2023a_exp2_003_assay2_001 zebrafish Danio rerio commercial supplier wild not reported imidacloprid analytical 138261-41-3 https://commonchemistry.cas.org/detail?cas_rn=138261-41-3&search=imidacloprid neonicotinoid 100 ug/L 21 days not reported NA 26 celsius social interaction sociality time spent in conspecific zone time spent in social zone zone NA fig3e liu_2023a_3e NA NA NA 14 258.3014343 31.0746713 NA NA 8.305055233 caluclated difference in zone 2 and 1 states range of sample sizes so selected lowest NA NA NA 14 290.2281193 18.3623058 NA NA 4.907532638 caluclated difference in zone 2 and 1 states range of sample sizes so selected lowest NA NA NA NA
NA NA NA KM Environmentally Realistic Waterborne Atrazine Exposure Affects Behavior in Poecilia latipinna 10.3390/w15020306 https://www.mdpi.com/2073-4441/15/2/306 Water maclaren_2023 maclaren_2023_exp_001 maclaren_2023_exp2_001 maclaren_2023_exp_001_assay_001 maclaren_2023_exp2_001_assay2_001 sailfin mollie Poecilia latipinna labratory stock from wild population not_wild female atrazine not reported 1912-24-9 in paper triazine 1 ppb 12 weeks DMSO solvent_used 25 celsius courting courtship time in preference zone of female time spent in courtship zone zone NA fig3a maclaren_2023_fig3a NA NA NA 20 362.0208435 NA NA NA NA study does not report error exact sample size provided NA NA NA 20 370.0208435 NA NA NA NA study does not report error exact sample size provided NA NA NA NA
NA NA NA KM Environmentally Realistic Waterborne Atrazine Exposure Affects Behavior in Poecilia latipinna 10.3390/w15020307 https://www.mdpi.com/2073-4441/15/2/307 Water maclaren_2023 maclaren_2023_exp_002 maclaren_2023_exp2_002 maclaren_2023_exp_002_assay_001 maclaren_2023_exp2_002_assay2_001 sailfin mollie Poecilia latipinna labratory stock from wild population not_wild female atrazine not reported 1912-24-9 in paper triazine 15 ppb 12 weeks DMSO solvent_used 25 celsius courting courtship time in preference zone of female time spent in courtship zone zone NA fig3a maclaren_2023_fig3a NA NA NA 20 362.0208435 NA NA NA NA study does not report error exact sample size provided NA NA NA 20 344.0208435 NA NA NA NA study does not report error exact sample size provided NA NA NA NA
NA NA NA KM Environmentally Realistic Waterborne Atrazine Exposure Affects Behavior in Poecilia latipinna 10.3390/w15020308 https://www.mdpi.com/2073-4441/15/2/308 Water maclaren_2023 maclaren_2023_exp_001 maclaren_2023_exp2_003 maclaren_2023_exp_001_assay_002 maclaren_2023_exp2_003_assay2_001 sailfin mollie Poecilia latipinna labratory stock from wild population not_wild female atrazine not reported 1912-24-9 in paper triazine 1 ppb 12 weeks DMSO solvent_used 25 celsius courting courtship time in preference zone of male time spent in courtship zone zone NA fig3a maclaren_2023_fig3a NA NA NA 20 480.0208435 NA NA NA NA study does not report error exact sample size provided NA NA NA 20 276.0208435 NA NA NA NA study does not report error exact sample size provided NA NA NA NA
NA NA NA KM Environmentally Realistic Waterborne Atrazine Exposure Affects Behavior in Poecilia latipinna 10.3390/w15020309 https://www.mdpi.com/2073-4441/15/2/309 Water maclaren_2023 maclaren_2023_exp_002 maclaren_2023_exp2_004 maclaren_2023_exp_002_assay_002 maclaren_2023_exp2_004_assay2_001 sailfin mollie Poecilia latipinna labratory stock from wild population not_wild female atrazine not reported 1912-24-9 in paper triazine 15 ppb 12 weeks DMSO solvent_used 25 celsius courting courtship time in preference zone of male time spent in courtship zone zone NA fig3a maclaren_2023_fig3a NA NA NA 20 480.0208435 NA NA NA NA study does not report error exact sample size provided NA NA NA 20 356.0208435 NA NA NA NA study does not report error exact sample size provided NA NA NA NA
NA NA NA KM Environmentally Realistic Waterborne Atrazine Exposure Affects Behavior in Poecilia latipinna 10.3390/w15020306 https://www.mdpi.com/2073-4441/15/2/306 Water maclaren_2023 maclaren_2023_exp_003 maclaren_2023_exp2_005 maclaren_2023_exp_003_assay_001 maclaren_2023_exp2_005_assay2_001 sailfin mollie Poecilia latipinna labratory stock from wild population not_wild male atrazine not reported 1912-24-9 in paper triazine 1 ppb 12 weeks DMSO solvent_used 25 celsius courting courtship time in preference zone of female time spent in courtship zone zone NA fig3b maclaren_2023_fig3b NA NA NA 20 437.5210116 NA NA NA NA study does not report error exact sample size provided NA NA NA 20 298.4081084 NA NA NA NA study does not report error exact sample size provided NA NA NA NA
NA NA NA KM Environmentally Realistic Waterborne Atrazine Exposure Affects Behavior in Poecilia latipinna 10.3390/w15020307 https://www.mdpi.com/2073-4441/15/2/307 Water maclaren_2023 maclaren_2023_exp_004 maclaren_2023_exp2_006 maclaren_2023_exp_004_assay_001 maclaren_2023_exp2_006_assay2_001 sailfin mollie Poecilia latipinna labratory stock from wild population not_wild male atrazine not reported 1912-24-9 in paper triazine 15 ppb 12 weeks DMSO solvent_used 25 celsius courting courtship time in preference zone of female time spent in courtship zone zone NA fig3b maclaren_2023_fig3b NA NA NA 20 437.5210116 NA NA NA NA study does not report error exact sample size provided NA NA NA 20 304.4564955 NA NA NA NA study does not report error exact sample size provided NA NA NA NA
NA NA NA KM Environmentally Realistic Waterborne Atrazine Exposure Affects Behavior in Poecilia latipinna 10.3390/w15020308 https://www.mdpi.com/2073-4441/15/2/308 Water maclaren_2023 maclaren_2023_exp_003 maclaren_2023_exp2_007 maclaren_2023_exp_003_assay_002 maclaren_2023_exp2_007_assay2_001 sailfin mollie Poecilia latipinna labratory stock from wild population not_wild male atrazine not reported 1912-24-9 in paper triazine 1 ppb 12 weeks DMSO solvent_used 25 celsius courting courtship time in preference zone of male time spent in courtship zone zone NA fig3b maclaren_2023_fig3b NA NA NA 20 401.2306890 NA NA NA NA study does not report error exact sample size provided NA NA NA 20 276.2306890 NA NA NA NA study does not report error exact sample size provided NA NA NA NA
NA NA NA KM Environmentally Realistic Waterborne Atrazine Exposure Affects Behavior in Poecilia latipinna 10.3390/w15020309 https://www.mdpi.com/2073-4441/15/2/309 Water maclaren_2023 maclaren_2023_exp_004 maclaren_2023_exp2_008 maclaren_2023_exp_004_assay_002 maclaren_2023_exp2_008_assay2_001 sailfin mollie Poecilia latipinna labratory stock from wild population not_wild male atrazine not reported 1912-24-9 in paper triazine 15 ppb 12 weeks DMSO solvent_used 25 celsius courting courtship time in preference zone of male time spent in courtship zone zone NA fig3b maclaren_2023_fig3b NA NA NA 20 401.2306890 NA NA NA NA study does not report error exact sample size provided NA NA NA 20 296.3919793 NA NA NA NA study does not report error exact sample size provided NA NA NA NA
NA NA NA KM Environmentally Realistic Waterborne Atrazine Exposure Affects Behavior in Poecilia latipinna 10.3390/w15020309 https://www.mdpi.com/2073-4441/15/2/309 Water maclaren_2023 maclaren_2023_exp_003 maclaren_2023_exp2_009 maclaren_2023_exp_003_assay_003 maclaren_2023_exp2_009_assay2_001 sailfin mollie Poecilia latipinna labratory stock from wild population not_wild male atrazine not reported 1912-24-9 in paper triazine 1 ppb 12 weeks DMSO solvent_used 25 celsius courting courtship mean total time with dummy time spent with simulated fish NA NA fig4a maclaren_2023_fig4a NA NA NA 20 842.5219795 NA NA NA NA study does not report error exact sample size provided NA NA NA 20 644.1194236 NA NA NA NA study does not report error exact sample size provided NA NA NA NA
NA NA NA KM Environmentally Realistic Waterborne Atrazine Exposure Affects Behavior in Poecilia latipinna 10.3390/w15020309 https://www.mdpi.com/2073-4441/15/2/309 Water maclaren_2023 maclaren_2023_exp_004 maclaren_2023_exp2_010 maclaren_2023_exp_004_assay_003 maclaren_2023_exp2_010_assay2_001 sailfin mollie Poecilia latipinna labratory stock from wild population not_wild male atrazine not reported 1912-24-9 in paper triazine 15 ppb 12 weeks DMSO solvent_used 25 celsius courting courtship mean total time with dummy time spent with simulated fish NA NA fig4a maclaren_2023_fig4a NA NA NA 20 842.5219795 NA NA NA NA study does not report error exact sample size provided NA NA NA 20 698.7520114 NA NA NA NA study does not report error exact sample size provided NA NA NA NA
NA NA NA KM Environmentally Realistic Waterborne Atrazine Exposure Affects Behavior in Poecilia latipinna 10.3390/w15020309 https://www.mdpi.com/2073-4441/15/2/309 Water maclaren_2023 maclaren_2023_exp_003 maclaren_2023_exp2_011 maclaren_2023_exp_003_assay_004 maclaren_2023_exp2_011_assay2_001 sailfin mollie Poecilia latipinna labratory stock from wild population not_wild male atrazine not reported 1912-24-9 in paper triazine 1 ppb 12 weeks DMSO solvent_used 25 celsius courting courtship mean total time with dummy time spent with simulated fish NA NA fig4b maclaren_2023_fig4b NA NA NA 20 733.5729629 NA NA NA NA study does not report error exact sample size provided NA NA NA 20 503.5410141 NA NA NA NA study does not report error exact sample size provided NA NA NA NA
NA NA NA KM Environmentally Realistic Waterborne Atrazine Exposure Affects Behavior in Poecilia latipinna 10.3390/w15020309 https://www.mdpi.com/2073-4441/15/2/309 Water maclaren_2023 maclaren_2023_exp_004 maclaren_2023_exp2_012 maclaren_2023_exp_004_assay_004 maclaren_2023_exp2_012_assay2_001 sailfin mollie Poecilia latipinna labratory stock from wild population not_wild male atrazine not reported 1912-24-9 in paper triazine 15 ppb 12 weeks DMSO solvent_used 25 celsius courting courtship mean total time with dummy time spent with simulated fish NA NA fig4b maclaren_2023_fig4b NA NA NA 20 733.5729629 NA NA NA NA study does not report error exact sample size provided NA NA NA 20 523.9882984 NA NA NA NA study does not report error exact sample size provided NA NA NA NA
NA NA NA KM Environmentally Realistic Waterborne Atrazine Exposure Affects Behavior in Poecilia latipinna 10.3390/w15020309 https://www.mdpi.com/2073-4441/15/2/309 Water maclaren_2023 maclaren_2023_exp_001 maclaren_2023_exp2_013 maclaren_2023_exp_001_assay_003 maclaren_2023_exp2_013_assay2_001 sailfin mollie Poecilia latipinna labratory stock from wild population not_wild female atrazine not reported 1912-24-9 in paper triazine 1 ppb 12 weeks DMSO solvent_used 25 celsius courting courtship time with smaller male (small and intermediate male present) time spent near potential mate NA NA table1 maclaren_2023_table1 NA NA NA 20 144.6900000 67.4398102 NA NA 15.08 study does not state error type used, so we assumed to be SE exact sample size provided NA NA NA 20 187.0600000 155.8986594 NA NA 34.86 study does not state error type used, so we assumed to be SE exact sample size provided NA NA NA NA
NA NA NA KM Environmentally Realistic Waterborne Atrazine Exposure Affects Behavior in Poecilia latipinna 10.3390/w15020309 https://www.mdpi.com/2073-4441/15/2/309 Water maclaren_2023 maclaren_2023_exp_002 maclaren_2023_exp2_014 maclaren_2023_exp_002_assay_003 maclaren_2023_exp2_014_assay2_001 sailfin mollie Poecilia latipinna labratory stock from wild population not_wild female atrazine not reported 1912-24-9 in paper triazine 15 ppb 12 weeks DMSO solvent_used 25 celsius courting courtship time with smaller male (small and intermediate male present) time spent near potential mate NA NA table1 maclaren_2023_table1 NA NA NA 20 144.6900000 67.4398102 NA NA 15.08 study does not state error type used, so we assumed to be SE exact sample size provided NA NA NA 20 193.8000000 141.5878243 NA NA 31.66 study does not state error type used, so we assumed to be SE exact sample size provided NA NA NA NA
NA NA NA KM Environmentally Realistic Waterborne Atrazine Exposure Affects Behavior in Poecilia latipinna 10.3390/w15020309 https://www.mdpi.com/2073-4441/15/2/309 Water maclaren_2023 maclaren_2023_exp_001 maclaren_2023_exp2_015 maclaren_2023_exp_001_assay_004 maclaren_2023_exp2_015_assay2_001 sailfin mollie Poecilia latipinna labratory stock from wild population not_wild female atrazine not reported 1912-24-9 in paper triazine 1 ppb 12 weeks DMSO solvent_used 25 celsius courting courtship time with larger male (small and intermediate male present) time spent near potential mate NA NA table1 maclaren_2023_table1 NA NA NA 20 246.3800000 80.0512336 NA NA 17.9 study does not state error type used, so we assumed to be SE exact sample size provided NA NA NA 20 206.7200000 158.9397118 NA NA 35.54 study does not state error type used, so we assumed to be SE exact sample size provided NA NA NA NA
NA NA NA KM Environmentally Realistic Waterborne Atrazine Exposure Affects Behavior in Poecilia latipinna 10.3390/w15020309 https://www.mdpi.com/2073-4441/15/2/309 Water maclaren_2023 maclaren_2023_exp_002 maclaren_2023_exp2_016 maclaren_2023_exp_002_assay_004 maclaren_2023_exp2_016_assay2_001 sailfin mollie Poecilia latipinna labratory stock from wild population not_wild female atrazine not reported 1912-24-9 in paper triazine 15 ppb 12 weeks DMSO solvent_used 25 celsius courting courtship time with larger male (small and intermediate male present) time spent near potential mate NA NA table1 maclaren_2023_table1 NA NA NA 20 246.3800000 80.0512336 NA NA 17.9 study does not state error type used, so we assumed to be SE exact sample size provided NA NA NA 20 249.1000000 148.2960283 NA NA 33.16 study does not state error type used, so we assumed to be SE exact sample size provided NA NA NA NA
NA NA NA KM Environmentally Realistic Waterborne Atrazine Exposure Affects Behavior in Poecilia latipinna 10.3390/w15020309 https://www.mdpi.com/2073-4441/15/2/309 Water maclaren_2023 maclaren_2023_exp_001 maclaren_2023_exp2_017 maclaren_2023_exp_001_assay_005 maclaren_2023_exp2_017_assay2_001 sailfin mollie Poecilia latipinna labratory stock from wild population not_wild female atrazine not reported 1912-24-9 in paper triazine 1 ppb 12 weeks DMSO solvent_used 25 celsius courting courtship time with smaller male (small and large male present) time spent near potential mate NA NA table1 maclaren_2023_table1 NA NA NA 20 132.2300000 43.4244401 NA NA 9.71 study does not state error type used, so we assumed to be SE exact sample size provided NA NA NA 20 140.2800000 158.8502691 NA NA 35.52 study does not state error type used, so we assumed to be SE exact sample size provided NA NA NA NA
NA NA NA KM Environmentally Realistic Waterborne Atrazine Exposure Affects Behavior in Poecilia latipinna 10.3390/w15020309 https://www.mdpi.com/2073-4441/15/2/309 Water maclaren_2023 maclaren_2023_exp_002 maclaren_2023_exp2_018 maclaren_2023_exp_002_assay_005 maclaren_2023_exp2_018_assay2_001 sailfin mollie Poecilia latipinna labratory stock from wild population not_wild female atrazine not reported 1912-24-9 in paper triazine 15 ppb 12 weeks DMSO solvent_used 25 celsius courting courtship time with smaller male (small and large male present) time spent near potential mate NA NA table1 maclaren_2023_table1 NA NA NA 20 132.2300000 43.4244401 NA NA 9.71 study does not state error type used, so we assumed to be SE exact sample size provided NA NA NA 20 132.2500000 80.7667754 NA NA 18.06 study does not state error type used, so we assumed to be SE exact sample size provided NA NA NA NA
NA NA NA KM Environmentally Realistic Waterborne Atrazine Exposure Affects Behavior in Poecilia latipinna 10.3390/w15020309 https://www.mdpi.com/2073-4441/15/2/309 Water maclaren_2023 maclaren_2023_exp_001 maclaren_2023_exp2_019 maclaren_2023_exp_001_assay_006 maclaren_2023_exp2_019_assay2_001 sailfin mollie Poecilia latipinna labratory stock from wild population not_wild female atrazine not reported 1912-24-9 in paper triazine 1 ppb 12 weeks DMSO solvent_used 25 celsius courting courtship time with larger male (small and large male present) time spent near potential mate NA NA table1 maclaren_2023_table1 NA NA NA 20 230.4600000 52.3239907 NA NA 11.7 study does not state error type used, so we assumed to be SE exact sample size provided NA NA NA 20 183.9400000 155.2278390 NA NA 34.71 study does not state error type used, so we assumed to be SE exact sample size provided NA NA NA NA
NA NA NA KM Environmentally Realistic Waterborne Atrazine Exposure Affects Behavior in Poecilia latipinna 10.3390/w15020309 https://www.mdpi.com/2073-4441/15/2/309 Water maclaren_2023 maclaren_2023_exp_002 maclaren_2023_exp2_020 maclaren_2023_exp_002_assay_006 maclaren_2023_exp2_020_assay2_001 sailfin mollie Poecilia latipinna labratory stock from wild population not_wild female atrazine not reported 1912-24-9 in paper triazine 15 ppb 12 weeks DMSO solvent_used 25 celsius courting courtship time with larger male (small and large male present) time spent near potential mate NA NA table1 maclaren_2023_table1 NA NA NA 20 230.4600000 52.3239907 NA NA 11.7 study does not state error type used, so we assumed to be SE exact sample size provided NA NA NA 20 183.9400000 155.2278390 NA NA 34.71 study does not state error type used, so we assumed to be SE exact sample size provided NA NA NA NA
NA NA NA KM Environmentally Realistic Waterborne Atrazine Exposure Affects Behavior in Poecilia latipinna 10.3390/w15020309 https://www.mdpi.com/2073-4441/15/2/309 Water maclaren_2023 maclaren_2023_exp_001 maclaren_2023_exp2_021 maclaren_2023_exp_001_assay_007 maclaren_2023_exp2_021_assay2_001 sailfin mollie Poecilia latipinna labratory stock from wild population not_wild female atrazine not reported 1912-24-9 in paper triazine 1 ppb 12 weeks DMSO solvent_used 25 celsius courting courtship time with smaller male (intermediate and large male present) time spent near potential mate NA NA table1 maclaren_2023_table1 NA NA NA 20 143.0000000 53.7997955 NA NA 12.03 study does not state error type used, so we assumed to be SE exact sample size provided NA NA NA 20 143.3300000 125.8906271 NA NA 28.15 study does not state error type used, so we assumed to be SE exact sample size provided NA NA NA NA
NA NA NA KM Environmentally Realistic Waterborne Atrazine Exposure Affects Behavior in Poecilia latipinna 10.3390/w15020309 https://www.mdpi.com/2073-4441/15/2/309 Water maclaren_2023 maclaren_2023_exp_002 maclaren_2023_exp2_022 maclaren_2023_exp_002_assay_007 maclaren_2023_exp2_022_assay2_001 sailfin mollie Poecilia latipinna labratory stock from wild population not_wild female atrazine not reported 1912-24-9 in paper triazine 15 ppb 12 weeks DMSO solvent_used 25 celsius courting courtship time with smaller male (intermediate and large male present) time spent near potential mate NA NA table1 maclaren_2023_table1 NA NA NA 20 143.0000000 53.7997955 NA NA 12.03 study does not state error type used, so we assumed to be SE exact sample size provided NA NA NA 20 178.0000000 126.5614475 NA NA 28.3 study does not state error type used, so we assumed to be SE exact sample size provided NA NA NA NA
NA NA NA KM Environmentally Realistic Waterborne Atrazine Exposure Affects Behavior in Poecilia latipinna 10.3390/w15020309 https://www.mdpi.com/2073-4441/15/2/309 Water maclaren_2023 maclaren_2023_exp_001 maclaren_2023_exp2_023 maclaren_2023_exp_001_assay_008 maclaren_2023_exp2_023_assay2_001 sailfin mollie Poecilia latipinna labratory stock from wild population not_wild female atrazine not reported 1912-24-9 in paper triazine 1 ppb 12 weeks DMSO solvent_used 25 celsius courting courtship time with larger male (intermediate and large male present) time spent near potential mate NA NA table1 maclaren_2023_table1 NA NA NA 20 240.9200000 65.6956772 NA NA 14.69 study does not state error type used, so we assumed to be SE exact sample size provided NA NA NA 20 143.3300000 125.8906271 NA NA 28.15 study does not state error type used, so we assumed to be SE exact sample size provided NA NA NA NA
NA NA NA KM Environmentally Realistic Waterborne Atrazine Exposure Affects Behavior in Poecilia latipinna 10.3390/w15020309 https://www.mdpi.com/2073-4441/15/2/309 Water maclaren_2023 maclaren_2023_exp_002 maclaren_2023_exp2_024 maclaren_2023_exp_002_assay_008 maclaren_2023_exp2_024_assay2_001 sailfin mollie Poecilia latipinna labratory stock from wild population not_wild female atrazine not reported 1912-24-9 in paper triazine 15 ppb 12 weeks DMSO solvent_used 25 celsius courting courtship time with larger male (intermeditate and large male present) time spent near potential mate NA NA table1 maclaren_2023_table1 NA NA NA 20 240.9200000 65.6956772 NA NA 14.69 study does not state error type used, so we assumed to be SE exact sample size provided NA NA NA 20 178.0000000 126.5614475 NA NA 28.3 study does not state error type used, so we assumed to be SE exact sample size provided NA NA NA NA
NA NA NA KM Environmentally Realistic Waterborne Atrazine Exposure Affects Behavior in Poecilia latipinna 10.3390/w15020309 https://www.mdpi.com/2073-4441/15/2/309 Water maclaren_2023 maclaren_2023_exp_003 maclaren_2023_exp2_025 maclaren_2023_exp_003_assay_005 maclaren_2023_exp2_025_assay2_001 sailfin mollie Poecilia latipinna labratory stock from wild population not_wild male atrazine not reported 1912-24-9 in paper triazine 1 ppb 12 weeks DMSO solvent_used 25 celsius aggression aggression mean time in mirror zone time spent in aggression zone zone NA fig6 maclaren_2023_fig6 NA NA NA 20 405.4809630 NA NA NA NA study does not report error exact sample size provided NA NA NA 20 127.7465880 NA NA NA NA study does not report error exact sample size provided NA NA NA NA
NA NA NA KM Environmentally Realistic Waterborne Atrazine Exposure Affects Behavior in Poecilia latipinna 10.3390/w15020309 https://www.mdpi.com/2073-4441/15/2/309 Water maclaren_2023 maclaren_2023_exp_004 maclaren_2023_exp2_026 maclaren_2023_exp_004_assay_005 maclaren_2023_exp2_026_assay2_001 sailfin mollie Poecilia latipinna labratory stock from wild population not_wild male atrazine not reported 1912-24-9 in paper triazine 15 ppb 12 weeks DMSO solvent_used 25 celsius aggression aggression mean time in mirror zone time spent in aggression zone zone NA fig6 maclaren_2023_fig6 NA NA NA 20 405.4809630 NA NA NA NA study does not report error exact sample size provided NA NA NA 20 199.2309630 NA NA NA NA study does not report error exact sample size provided NA NA NA NA
NA NA NA KM Effects of the fungicide carbendazim on the behaviour of the zebrafish Danio rerio (Cypriniformes, Cyprinidae) 10.1007/s10211-024-00438-8 https://link.springer.com/article/10.1007/s10211-024-00438-8#:~:text=The%20results%20indicated%20that%20the,the%20bottom%20to%20the%20surface). Acta Ethologica oliveira_2024 oliveira_2024_exp_001 oliveira_2024_exp2_001 oliveira_2024_exp_001_assay_001 oliveira_2024_exp2_001_assay2_001 zebrafish Danio rerio not reported NA mixed carbendazim not reported 10605-21-7 https://commonchemistry.cas.org/detail?cas_rn=10605-21-7&search=carbendazim carbamate 120 ug/L 7 days DMSO solvent_used 26 celsius aggression aggression mean number of recordings frequency of aggressive behaviour count NA fig2a oliveira_2024_fig2a NA NA NA 22 18.7992279 14.4762578 NA NA 3.08634853 study reports boxplot exact sample size provided NA NA NA 21 14.4543493 9.0628231 NA NA 1.977670134 study reports boxplot exact sample size provided NA NA NA NA
NA NA NA KM Effects of the fungicide carbendazim on the behaviour of the zebrafish Danio rerio (Cypriniformes, Cyprinidae) 10.1007/s10211-024-00438-8 https://link.springer.com/article/10.1007/s10211-024-00438-8#:~:text=The%20results%20indicated%20that%20the,the%20bottom%20to%20the%20surface). Acta Ethologica oliveira_2024 oliveira_2024_exp_001 oliveira_2024_exp2_001 oliveira_2024_exp_001_assay_002 oliveira_2024_exp2_001_assay2_002 zebrafish Danio rerio not reported NA mixed carbendazim not reported 10605-21-7 https://commonchemistry.cas.org/detail?cas_rn=10605-21-7&search=carbendazim carbamate 120 ug/L 14 days DMSO solvent_used 26 celsius aggression aggression mean number of recordings frequency of aggressive behaviour count NA fig2a oliveira_2024_fig2a NA NA NA 23 18.0526140 9.8309178 NA NA 2.04988807 study reports boxplot exact sample size provided NA NA NA 21 15.4394650 9.4246408 NA NA 2.056625235 study reports boxplot exact sample size provided NA NA NA NA
NA NA NA KM Effects of the fungicide carbendazim on the behaviour of the zebrafish Danio rerio (Cypriniformes, Cyprinidae) 10.1007/s10211-024-00438-8 https://link.springer.com/article/10.1007/s10211-024-00438-8#:~:text=The%20results%20indicated%20that%20the,the%20bottom%20to%20the%20surface). Acta Ethologica oliveira_2024 oliveira_2024_exp_001 oliveira_2024_exp2_001 oliveira_2024_exp_001_assay_003 oliveira_2024_exp2_001_assay2_003 zebrafish Danio rerio not reported NA mixed carbendazim not reported 10605-21-7 https://commonchemistry.cas.org/detail?cas_rn=10605-21-7&search=carbendazim carbamate 120 ug/L 21 days DMSO solvent_used 26 celsius aggression aggression mean number of recordings frequency of aggressive behaviour count NA fig2a oliveira_2024_fig2a NA NA NA 22 8.3777409 4.4756635 NA NA 0.954214663 study reports boxplot exact sample size provided NA NA NA 22 5.2668493 1.9110062 NA NA 0.407427892 study reports boxplot exact sample size provided NA NA NA NA
NA NA NA KM Effects of the fungicide carbendazim on the behaviour of the zebrafish Danio rerio (Cypriniformes, Cyprinidae) 10.1007/s10211-024-00438-8 https://link.springer.com/article/10.1007/s10211-024-00438-8#:~:text=The%20results%20indicated%20that%20the,the%20bottom%20to%20the%20surface). Acta Ethologica oliveira_2024 oliveira_2024_exp_001 oliveira_2024_exp2_001 oliveira_2024_exp_001_assay_004 oliveira_2024_exp2_001_assay2_004 zebrafish Danio rerio not reported NA mixed carbendazim not reported 10605-21-7 https://commonchemistry.cas.org/detail?cas_rn=10605-21-7&search=carbendazim carbamate 120 ug/L 28 days DMSO solvent_used 26 celsius aggression aggression mean number of recordings frequency of aggressive behaviour count NA fig2a oliveira_2024_fig2a NA NA NA 22 9.8398600 3.7105062 NA NA 0.791082585 study reports boxplot exact sample size provided NA NA NA 24 4.8313245 1.6858765 NA NA 0.344128109 study reports boxplot exact sample size provided NA NA NA NA
NA NA NA KM Exposure to carbamate fungicide iodocarb does not affect reproductive behavior or milt volumes in precocious male brown trout (Salmo trutta L.) parr 10.1007/s10695-020-00803-x https://link.springer.com/article/10.1007/s10695-020-00803-x#citeas Fish Physiology and Biochemistry olsen_2020 olsen_2020_exp_001 olsen_2020_exp2_001 olsen_2020_exp_001_assay_001 olsen_2020_exp_001_assay2_001 brown trout Salmo trutta not reported NA male iodocarb not reported NA NA carbamate 15 ug/L 96 hours ethanol solvent_used 8 celsius courting courtship time with females time spent near potential mate NA NA fig1 olsen_2020_fig1 NA NA NA 5 550.3846154 90.9088724 NA NA 18.18177448 calculated from scatter plot counted from the scatter plot NA NA NA 7 825.8241758 991.3480857 NA NA 141.6211551 calculated from scatter plot counted from the scatter plot NA NA NA NA
NA NA NA KM Behavioral effects of triadimefon in zebrafish are associated with alterations of the dopaminergic and serotonergic pathways 10.1016/j.pnpbp.2018.12.012 https://www.sciencedirect.com/science/article/pii/S0278584618306961?via%3Dihub Progress in Neuro-Psychopharmacology and Biological Psychiatry paredes_2019 paredes_2019_exp_001 paredes_2019_exp2_001 paredes_2019_exp_001_assay_001 paredes_2019_exp2_001_assay2_001 zebrafish Danio rerio laboratory stock from not specified source not_wild mixed triadimefon not reported 43121-43-3 https://commonchemistry.cas.org/detail?cas_rn=43121-43-3&search=triadimefon triazole 5 mg/L not reported not reported DMSO solvent_used 28 celsius aggression aggression number of bites towards its reflex frequency of aggressive behaviour count NA fig7c paredes_2019_fig7c NA NA NA 7 28.0900922 17.9394845 NA NA 6.780487805 study reports mean and se states range of sample sizes so selected lowest NA NA NA 7 40.8934081 15.5769505 NA NA 5.887533875 study reports mean and se states range of sample sizes so selected lowest NA NA NA NA
NA NA YY KM Glyphosate-based herbicides affect behavioural patterns of the livebearer Jenynsia multidentata 10.1007/s11356-020-11958-8 https://link.springer.com/article/10.1007/s11356-020-11958-8 Environmental Science and Pollution Research sanchez_2021 sanchez_2021_exp_001 sanchez_2021_exp2_001 sanchez_2021_exp_001_assay_001 sanchez_2021_exp2_001_assay_001 killifish Jenynsia multidentata not reported NA mixed roundup commercial 38641-94-0 https://commonchemistry.cas.org/detail?cas_rn=38641-94-0&search=roundup organophosphate 0.5 mg/L 96 hours not reported NA 21.4 celsius social interaction sociality duration time spent in social zone zone NA fig2a sanchez_2021_fig2a NA NA NA 20 525.7969964 61.9000405 NA NA 13.84126984 study reports mean and se states 10 males and 10 females NA NA NA 20 497.2493774 87.0469320 NA NA 19.46428571 study reports mean and se states 10 males and 10 females NA NA NA NA
NA NA YY KM Glyphosate-based herbicides affect behavioural patterns of the livebearer Jenynsia multidentata 10.1007/s11356-020-11958-8 https://link.springer.com/article/10.1007/s11356-020-11958-8 Environmental Science and Pollution Research sanchez_2021 sanchez_2021_exp_002 sanchez_2021_exp2_002 sanchez_2021_exp_002_assay_001 sanchez_2021_exp2_002_assay_001 killifish Jenynsia multidentata not reported NA mixed roundup transorb commercial 38641-94-0 https://commonchemistry.cas.org/detail?cas_rn=38641-94-0&search=roundup organophosphate 0.5 mg/L 96 hours not reported NA 21.4 celsius social interaction sociality duration time spent in social zone zone NA fig2a sanchez_2021_fig2a NA NA NA 20 525.7969964 61.9000405 NA NA 13.84126984 study reports mean and se states 10 males and 10 females NA NA NA 20 491.6263615 77.3750507 NA NA 17.3015873 study reports mean and se states 10 males and 10 females NA NA NA NA
NA NA YY KM Glyphosate-based herbicides affect behavioural patterns of the livebearer Jenynsia multidentata 10.1007/s11356-020-11958-8 https://link.springer.com/article/10.1007/s11356-020-11958-8 Environmental Science and Pollution Research sanchez_2021 sanchez_2021_exp_003 sanchez_2021_exp2_003 sanchez_2021_exp_003_assay_001 sanchez_2021_exp2_003_assay_001 killifish Jenynsia multidentata not reported NA mixed roundup WG commercial 38641-94-0 https://commonchemistry.cas.org/detail?cas_rn=38641-94-0&search=roundup organophosphate 0.5 mg/L 96 hours not reported NA 21.4 celsius social interaction sociality duration time spent in social zone zone NA fig2a sanchez_2021_fig2a NA NA NA 20 525.7969964 61.9000405 NA NA 13.84126984 study reports mean and se states 10 males and 10 females NA NA NA 20 442.3168377 87.0469320 NA NA 19.46428571 study reports mean and se states 10 males and 10 females NA NA NA NA
NA NA YY KM Glyphosate-based herbicides affect behavioural patterns of the livebearer Jenynsia multidentata 10.1007/s11356-020-11958-8 https://link.springer.com/article/10.1007/s11356-020-11958-8 Environmental Science and Pollution Research sanchez_2021 sanchez_2021_exp_001 sanchez_2021_exp2_004 sanchez_2021_exp_001_assay_002 sanchez_2021_exp2_004_assay_001 killifish Jenynsia multidentata not reported NA mixed roundup commercial 38641-94-0 https://commonchemistry.cas.org/detail?cas_rn=38641-94-0&search=roundup organophosphate 0.5 mg/L 96 hours not reported NA 21.4 celsius aggression aggression time close to mirror time spent in aggression zone zone NA fig2c sanchez_2021_fig2c NA NA NA 20 448.8608098 84.6555719 NA NA 18.92956134 study reports mean and se states 10 males and 10 females NA NA NA 20 476.5270917 70.5463099 NA NA 15.77463445 study reports mean and se states 10 males and 10 females NA NA NA NA
NA NA YY KM Glyphosate-based herbicides affect behavioural patterns of the livebearer Jenynsia multidentata 10.1007/s11356-020-11958-8 https://link.springer.com/article/10.1007/s11356-020-11958-8 Environmental Science and Pollution Research sanchez_2021 sanchez_2021_exp_002 sanchez_2021_exp2_005 sanchez_2021_exp_002_assay_002 sanchez_2021_exp2_005_assay_001 killifish Jenynsia multidentata not reported NA mixed roundup transorb commercial 38641-94-0 https://commonchemistry.cas.org/detail?cas_rn=38641-94-0&search=roundup organophosphate 0.5 mg/L 96 hours not reported NA 21.4 celsius aggression aggression time close to mirror time spent in aggression zone zone NA fig2c sanchez_2021_fig2c NA NA NA 20 448.8608098 84.6555719 NA NA 18.92956134 study reports mean and se states 10 males and 10 females NA NA NA 20 447.8900630 73.8022934 NA NA 16.50269451 study reports mean and se states 10 males and 10 females NA NA NA NA
NA NA YY KM Glyphosate-based herbicides affect behavioural patterns of the livebearer Jenynsia multidentata 10.1007/s11356-020-11958-8 https://link.springer.com/article/10.1007/s11356-020-11958-8 Environmental Science and Pollution Research sanchez_2021 sanchez_2021_exp_003 sanchez_2021_exp2_006 sanchez_2021_exp_003_assay_002 sanchez_2021_exp2_006_assay_001 killifish Jenynsia multidentata not reported NA mixed roundup WG commercial 38641-94-0 https://commonchemistry.cas.org/detail?cas_rn=38641-94-0&search=roundup organophosphate 0.5 mg/L 96 hours not reported NA 21.4 celsius aggression aggression time close to mirror time spent in aggression zone zone NA fig2c sanchez_2021_fig2c NA NA NA 20 448.8608098 84.6555719 NA NA 18.92956134 study reports mean and se states 10 males and 10 females NA NA NA 20 462.9366374 73.8022934 NA NA 16.50269451 study reports mean and se states 10 males and 10 females NA NA NA NA
NA NA YY KM Glyphosate-based herbicides affect behavioural patterns of the livebearer Jenynsia multidentata 10.1007/s11356-020-11958-8 https://link.springer.com/article/10.1007/s11356-020-11958-8 Environmental Science and Pollution Research sanchez_2021 sanchez_2021_exp_001 sanchez_2021_exp2_007 sanchez_2021_exp_001_assay_003 sanchez_2021_exp2_007_assay_001 killifish Jenynsia multidentata not reported NA mixed roundup commercial 38641-94-0 https://commonchemistry.cas.org/detail?cas_rn=38641-94-0&search=roundup organophosphate 0.5 mg/L 96 hours not reported NA 21.4 celsius sexual activity courtship time taken by pursuits duration of courtship behaviour NA NA table2 sanchez_2021_table2 NA NA NA 20 215.9100000 322.1726742 NA NA 72.04 study reports mean and se states 10 males and 10 females NA NA NA 20 274.0000000 358.2180900 NA NA 80.1 study reports mean and se states 10 males and 10 females NA NA NA NA
NA NA YY KM Glyphosate-based herbicides affect behavioural patterns of the livebearer Jenynsia multidentata 10.1007/s11356-020-11958-8 https://link.springer.com/article/10.1007/s11356-020-11958-8 Environmental Science and Pollution Research sanchez_2021 sanchez_2021_exp_002 sanchez_2021_exp2_008 sanchez_2021_exp_002_assay_003 sanchez_2021_exp2_008_assay_001 killifish Jenynsia multidentata not reported NA mixed roundup transorb commercial 38641-94-0 https://commonchemistry.cas.org/detail?cas_rn=38641-94-0&search=roundup organophosphate 0.5 mg/L 96 hours not reported NA 21.4 celsius sexual activity courtship time taken by pursuits duration of courtship behaviour NA NA table2 sanchez_2021_table2 NA NA NA 20 215.9100000 322.1726742 NA NA 72.04 study reports mean and se states 10 males and 10 females NA NA NA 20 98.0800000 109.5673309 NA NA 24.5 study reports mean and se states 10 males and 10 females NA NA NA NA
NA NA YY KM Glyphosate-based herbicides affect behavioural patterns of the livebearer Jenynsia multidentata 10.1007/s11356-020-11958-8 https://link.springer.com/article/10.1007/s11356-020-11958-8 Environmental Science and Pollution Research sanchez_2021 sanchez_2021_exp_003 sanchez_2021_exp2_009 sanchez_2021_exp_003_assay_003 sanchez_2021_exp2_009_assay_001 killifish Jenynsia multidentata not reported NA mixed roundup WG commercial 38641-94-0 https://commonchemistry.cas.org/detail?cas_rn=38641-94-0&search=roundup organophosphate 0.5 mg/L 96 hours not reported NA 21.4 celsius sexual activity courtship time taken by pursuits duration of courtship behaviour NA NA table2 sanchez_2021_table2 NA NA NA 20 215.9100000 322.1726742 NA NA 72.04 study reports mean and se states 10 males and 10 females NA NA NA 20 158.2600000 188.3663664 NA NA 42.12 study reports mean and se states 10 males and 10 females NA NA NA NA
NA NA YY KM Glyphosate-based herbicides affect behavioural patterns of the livebearer Jenynsia multidentata 10.1007/s11356-020-11958-8 https://link.springer.com/article/10.1007/s11356-020-11958-8 Environmental Science and Pollution Research sanchez_2021 sanchez_2021_exp_001 sanchez_2021_exp2_007 sanchez_2021_exp_001_assay_004 sanchez_2021_exp2_007_assay_002 killifish Jenynsia multidentata not reported NA mixed roundup commercial 38641-94-0 https://commonchemistry.cas.org/detail?cas_rn=38641-94-0&search=roundup organophosphate 0.5 mg/L 96 hours not reported NA 21.4 celsius sexual activity courtship number of pursuits frequency of courtship behaviour count NA table2 sanchez_2021_table2 NA NA NA 20 43.7500000 27.3694720 NA NA 6.12 study reports mean and se states 10 males and 10 females NA NA NA 20 40.5600000 38.7734187 NA NA 8.67 study reports mean and se states 10 males and 10 females NA NA NA NA
NA NA YY KM Glyphosate-based herbicides affect behavioural patterns of the livebearer Jenynsia multidentata 10.1007/s11356-020-11958-8 https://link.springer.com/article/10.1007/s11356-020-11958-8 Environmental Science and Pollution Research sanchez_2021 sanchez_2021_exp_002 sanchez_2021_exp2_008 sanchez_2021_exp_002_assay_004 sanchez_2021_exp2_008_assay_002 killifish Jenynsia multidentata not reported NA mixed roundup transorb commercial 38641-94-0 https://commonchemistry.cas.org/detail?cas_rn=38641-94-0&search=roundup organophosphate 0.5 mg/L 96 hours not reported NA 21.4 celsius sexual activity courtship number of pursuits frequency of courtship behaviour count NA table2 sanchez_2021_table2 NA NA NA 20 43.7500000 27.3694720 NA NA 6.12 study reports mean and se states 10 males and 10 females NA NA NA 20 21.3800000 27.2353080 NA NA 6.09 study reports mean and se states 10 males and 10 females NA NA NA NA
NA NA YY KM Glyphosate-based herbicides affect behavioural patterns of the livebearer Jenynsia multidentata 10.1007/s11356-020-11958-8 https://link.springer.com/article/10.1007/s11356-020-11958-8 Environmental Science and Pollution Research sanchez_2021 sanchez_2021_exp_003 sanchez_2021_exp2_009 sanchez_2021_exp_003_assay_004 sanchez_2021_exp2_009_assay_002 killifish Jenynsia multidentata not reported NA mixed roundup WG commercial 38641-94-0 https://commonchemistry.cas.org/detail?cas_rn=38641-94-0&search=roundup organophosphate 0.5 mg/L 96 hours not reported NA 21.4 celsius sexual activity courtship number of pursuits frequency of courtship behaviour count NA table2 sanchez_2021_table2 NA NA NA 20 43.7500000 27.3694720 NA NA 6.12 study reports mean and se states 10 males and 10 females NA NA NA 20 36.7800000 33.7646265 NA NA 7.55 study reports mean and se states 10 males and 10 females NA NA NA NA
NA NA YY KM Glyphosate-based herbicides affect behavioural patterns of the livebearer Jenynsia multidentata 10.1007/s11356-020-11958-8 https://link.springer.com/article/10.1007/s11356-020-11958-8 Environmental Science and Pollution Research sanchez_2021 sanchez_2021_exp_001 sanchez_2021_exp2_007 sanchez_2021_exp_001_assay_005 sanchez_2021_exp2_007_assay_003 killifish Jenynsia multidentata not reported NA mixed roundup commercial 38641-94-0 https://commonchemistry.cas.org/detail?cas_rn=38641-94-0&search=roundup organophosphate 0.5 mg/L 96 hours not reported NA 21.4 celsius sexual activity courtship attempts at copulation frequency of courtship behaviour count NA table2 sanchez_2021_table2 NA NA NA 20 74.7100000 80.5878899 NA NA 18.02 study reports mean and se states 10 males and 10 females NA NA NA 20 62.0000000 56.6619625 NA NA 12.67 study reports mean and se states 10 males and 10 females NA NA NA NA
NA NA YY KM Glyphosate-based herbicides affect behavioural patterns of the livebearer Jenynsia multidentata 10.1007/s11356-020-11958-8 https://link.springer.com/article/10.1007/s11356-020-11958-8 Environmental Science and Pollution Research sanchez_2021 sanchez_2021_exp_002 sanchez_2021_exp2_008 sanchez_2021_exp_002_assay_005 sanchez_2021_exp2_008_assay_003 killifish Jenynsia multidentata not reported NA mixed roundup transorb commercial 38641-94-0 https://commonchemistry.cas.org/detail?cas_rn=38641-94-0&search=roundup organophosphate 0.5 mg/L 96 hours not reported NA 21.4 celsius sexual activity courtship attempts at copulation frequency of courtship behaviour count NA table2 sanchez_2021_table2 NA NA NA 20 74.7100000 80.5878899 NA NA 18.02 study reports mean and se states 10 males and 10 females NA NA NA 20 28.2500000 47.8518547 NA NA 10.7 study reports mean and se states 10 males and 10 females NA NA NA NA
NA NA YY KM Glyphosate-based herbicides affect behavioural patterns of the livebearer Jenynsia multidentata 10.1007/s11356-020-11958-8 https://link.springer.com/article/10.1007/s11356-020-11958-8 Environmental Science and Pollution Research sanchez_2021 sanchez_2021_exp_003 sanchez_2021_exp2_009 sanchez_2021_exp_003_assay_005 sanchez_2021_exp2_009_assay_003 killifish Jenynsia multidentata not reported NA mixed roundup WG commercial 38641-94-0 https://commonchemistry.cas.org/detail?cas_rn=38641-94-0&search=roundup organophosphate 0.5 mg/L 96 hours not reported NA 21.4 celsius sexual activity courtship attempts at copulation frequency of courtship behaviour count NA table2 sanchez_2021_table2 NA NA NA 20 74.7100000 80.5878899 NA NA 18.02 study reports mean and se states 10 males and 10 females NA NA NA 20 40.2200000 42.9325052 NA NA 9.6 study reports mean and se states 10 males and 10 females NA NA NA NA
NA NA YY KM Glyphosate-based herbicides affect behavioural patterns of the livebearer Jenynsia multidentata 10.1007/s11356-020-11958-8 https://link.springer.com/article/10.1007/s11356-020-11958-8 Environmental Science and Pollution Research sanchez_2021 sanchez_2021_exp_001 sanchez_2021_exp2_007 sanchez_2021_exp_001_assay_006 sanchez_2021_exp2_007_assay_004 killifish Jenynsia multidentata not reported NA mixed roundup commercial 38641-94-0 https://commonchemistry.cas.org/detail?cas_rn=38641-94-0&search=roundup organophosphate 0.5 mg/L 96 hours not reported NA 21.4 celsius sexual activity courtship number of actual copulations frequency of courtship behaviour success count NA table2 sanchez_2021_table2 NA NA NA 20 20.1300000 29.0241624 NA NA 6.49 study reports mean and se states 10 males and 10 females NA NA NA 20 20.0000000 18.2463147 NA NA 4.08 study reports mean and se states 10 males and 10 females NA NA NA NA
NA NA YY KM Glyphosate-based herbicides affect behavioural patterns of the livebearer Jenynsia multidentata 10.1007/s11356-020-11958-8 https://link.springer.com/article/10.1007/s11356-020-11958-8 Environmental Science and Pollution Research sanchez_2021 sanchez_2021_exp_002 sanchez_2021_exp2_008 sanchez_2021_exp_002_assay_006 sanchez_2021_exp2_008_assay_004 killifish Jenynsia multidentata not reported NA mixed roundup transorb commercial 38641-94-0 https://commonchemistry.cas.org/detail?cas_rn=38641-94-0&search=roundup organophosphate 0.5 mg/L 96 hours not reported NA 21.4 celsius sexual activity courtship number of actual copulations frequency of courtship behaviour success count NA table2 sanchez_2021_table2 NA NA NA 20 20.1300000 29.0241624 NA NA 6.49 study reports mean and se states 10 males and 10 females NA NA NA 20 6.5000000 8.8548292 NA NA 1.98 study reports mean and se states 10 males and 10 females NA NA NA NA
NA NA YY KM Glyphosate-based herbicides affect behavioural patterns of the livebearer Jenynsia multidentata 10.1007/s11356-020-11958-8 https://link.springer.com/article/10.1007/s11356-020-11958-8 Environmental Science and Pollution Research sanchez_2021 sanchez_2021_exp_003 sanchez_2021_exp2_009 sanchez_2021_exp_003_assay_006 sanchez_2021_exp2_009_assay_004 killifish Jenynsia multidentata not reported NA mixed roundup WG commercial 38641-94-0 https://commonchemistry.cas.org/detail?cas_rn=38641-94-0&search=roundup organophosphate 0.5 mg/L 96 hours not reported NA 21.4 celsius sexual activity courtship number of actual copulations frequency of courtship behaviour success count NA table2 sanchez_2021_table2 NA NA NA 20 20.1300000 29.0241624 NA NA 6.49 study reports mean and se states 10 males and 10 females NA NA NA 20 11.0000000 9.6598137 NA NA 2.16 study reports mean and se states 10 males and 10 females NA NA NA NA
NA NA GM KM Subchronic atrazine exposure changes defensive behaviour profile and disrupts brain acetylcholinesterase activity of zebrafish 10.1016/j.ntt.2014.05.006 https://sciencedirect.com/science/article/pii/S0892036214001226 Neurotoxicology and Teratology schmidel_2014 schmidel_2014_exp_001 schmidel_2014_exp2_001 schmidel_2014_exp_001_assay_001 schmidel_2014_exp2_001_assay2_001 zebrafish Danio rerio labratory stock from commercial supplier not_wild mixed atrazine analytical 1912-24-9 in paper triazine 10 ug/L 14 days acetone solvent_used 27 celsius shoaling collective behaviour distance group movement NA NA fig1a schmidel_2014_fig1a 15.058824 128.000000 8 8 5.4751686 0.8400780 0.8400780 3.3603122 0.297012439 study reports mean and se exact sample size provided 8.500000 8.000000 128 8 5.2221580 0.2800260 0.2800260 1.1201040 0.099004146 study reports mean and se exact sample size provided NA NA NA NA
NA NA GM KM Subchronic atrazine exposure changes defensive behaviour profile and disrupts brain acetylcholinesterase activity of zebrafish 10.1016/j.ntt.2014.05.006 https://sciencedirect.com/science/article/pii/S0892036214001226 Neurotoxicology and Teratology schmidel_2014 schmidel_2014_exp_002 schmidel_2014_exp2_002 schmidel_2014_exp_002_assay_001 schmidel_2014_exp2_002_assay2_001 zebrafish Danio rerio labratory stock from commercial supplier not_wild mixed atrazine analytical 1912-24-9 in paper triazine 1000 ug/L 14 days acetone solvent_used 27 celsius shoaling collective behaviour distance group movement NA NA fig1a schmidel_2014_fig1a 15.058824 128.000000 8 8 5.4751686 0.8400780 0.8400780 3.3603122 0.297012439 study reports mean and se exact sample size provided 8.500000 8.000000 128 8 6.8832275 1.8668401 1.8668401 7.4673604 0.660027643 study reports mean and se exact sample size provided NA NA NA NA
NA NA GM KM Subchronic atrazine exposure changes defensive behaviour profile and disrupts brain acetylcholinesterase activity of zebrafish 10.1016/j.ntt.2014.05.006 https://sciencedirect.com/science/article/pii/S0892036214001226 Neurotoxicology and Teratology schmidel_2014 schmidel_2014_exp_001 schmidel_2014_exp2_003 schmidel_2014_exp_001_assay_002 schmidel_2014_exp2_003_assay2_001 zebrafish Danio rerio labratory stock from commercial supplier not_wild mixed atrazine analytical 1912-24-9 in paper triazine 10 ug/L 14 days acetone solvent_used 27 celsius shoaling collective behaviour nearest neighbour distance group arrangment NA change fig1b schmidel_2014_fig1b 15.058824 128.000000 8 8 2.3326796 0.2681029 0.2681029 1.0724116 0.094788686 study reports mean and se exact sample size provided 8.500000 8.000000 128 8 2.1009739 0.1638407 0.1638407 0.6553626 0.057926419 study reports mean and se exact sample size provided NA NA NA NA
NA NA GM KM Subchronic atrazine exposure changes defensive behaviour profile and disrupts brain acetylcholinesterase activity of zebrafish 10.1016/j.ntt.2014.05.006 https://sciencedirect.com/science/article/pii/S0892036214001226 Neurotoxicology and Teratology schmidel_2014 schmidel_2014_exp_002 schmidel_2014_exp2_004 schmidel_2014_exp_002_assay_002 schmidel_2014_exp2_004_assay2_001 zebrafish Danio rerio labratory stock from commercial supplier not_wild mixed atrazine analytical 1912-24-9 in paper triazine 1000 ug/L 14 days acetone solvent_used 27 celsius shoaling collective behaviour nearest neighbour distance group arrangment NA change fig1b schmidel_2014_fig1b 15.058824 128.000000 8 8 2.3326796 0.2681029 0.2681029 1.0724116 0.094788686 study reports mean and se exact sample size provided 8.500000 8.000000 128 8 2.7960909 0.7894141 0.7894141 3.1576563 0.279100019 study reports mean and se exact sample size provided NA NA NA NA
NA NA GM KM Subchronic atrazine exposure changes defensive behaviour profile and disrupts brain acetylcholinesterase activity of zebrafish 10.1016/j.ntt.2014.05.006 https://sciencedirect.com/science/article/pii/S0892036214001226 Neurotoxicology and Teratology schmidel_2014 schmidel_2014_exp_001 schmidel_2014_exp2_005 schmidel_2014_exp_001_assay_003 schmidel_2014_exp2_005_assay2_001 zebrafish Danio rerio labratory stock from commercial supplier not_wild mixed atrazine analytical 1912-24-9 in paper triazine 10 ug/L 14 days acetone solvent_used 27 celsius shoaling collective behaviour farthest neighbour distance group arrangment NA change fig1c schmidel_2014_fig1c 15.058824 128.000000 8 8 8.3946118 1.2046017 1.2046017 4.8184068 0.425891015 study reports mean and se exact sample size provided 8.500000 8.000000 128 8 8.2799488 0.8339550 0.8339550 3.3358201 0.294847626 study reports mean and se exact sample size provided NA NA NA NA
NA NA GM KM Subchronic atrazine exposure changes defensive behaviour profile and disrupts brain acetylcholinesterase activity of zebrafish 10.1016/j.ntt.2014.05.006 https://sciencedirect.com/science/article/pii/S0892036214001226 Neurotoxicology and Teratology schmidel_2014 schmidel_2014_exp_002 schmidel_2014_exp2_006 schmidel_2014_exp_002_assay_003 schmidel_2014_exp2_006_assay2_001 zebrafish Danio rerio labratory stock from commercial supplier not_wild mixed atrazine analytical 1912-24-9 in paper triazine 1000 ug/L 14 days acetone solvent_used 27 celsius shoaling collective behaviour farthest neighbour distance group arrangment NA change fig1c schmidel_2014_fig1c 15.058824 128.000000 8 8 8.3946118 1.2046017 1.2046017 4.8184068 0.425891015 study reports mean and se exact sample size provided 8.500000 8.000000 128 8 10.8025340 2.9188426 2.9188426 11.6753703 1.03196669 study reports mean and se exact sample size provided NA NA NA NA
NA NA GM KM Subchronic atrazine exposure changes defensive behaviour profile and disrupts brain acetylcholinesterase activity of zebrafish 10.1016/j.ntt.2014.05.006 https://sciencedirect.com/science/article/pii/S0892036214001226 Neurotoxicology and Teratology schmidel_2014 schmidel_2014_exp_001 schmidel_2014_exp2_007 schmidel_2014_exp_001_assay_004 schmidel_2014_exp2_007_assay2_001 zebrafish Danio rerio labratory stock from commercial supplier not_wild mixed atrazine analytical 1912-24-9 in paper triazine 10 ug/L 14 days acetone solvent_used 27 celsius shoaling collective behaviour shoal area group arrangment NA change fig2 schmidel_2014_fig2 15.058824 128.000000 8 8 17.2624072 4.0968964 4.0968964 16.3875856 1.448471616 study reports mean and se exact sample size provided 8.500000 8.000000 128 8 14.8327129 2.3788431 2.3788431 9.5153723 0.841048035 study reports mean and se exact sample size provided NA NA NA NA
NA NA GM KM Subchronic atrazine exposure changes defensive behaviour profile and disrupts brain acetylcholinesterase activity of zebrafish 10.1016/j.ntt.2014.05.006 https://sciencedirect.com/science/article/pii/S0892036214001226 Neurotoxicology and Teratology schmidel_2014 schmidel_2014_exp_002 schmidel_2014_exp2_008 schmidel_2014_exp_002_assay_004 schmidel_2014_exp2_008_assay2_001 zebrafish Danio rerio labratory stock from commercial supplier not_wild mixed atrazine analytical 1912-24-9 in paper triazine 1000 ug/L 14 days acetone solvent_used 27 celsius shoaling collective behaviour shoal area group arrangment NA change fig2 schmidel_2014_fig2 15.058824 128.000000 8 8 17.2624072 4.0968964 4.0968964 16.3875856 1.448471616 study reports mean and se exact sample size provided 8.500000 8.000000 128 8 34.0322517 22.7398130 22.7398130 90.9592520 8.039737991 study reports mean and se exact sample size provided NA NA NA NA
NA NA GM KM Subchronic atrazine exposure changes defensive behaviour profile and disrupts brain acetylcholinesterase activity of zebrafish 10.1016/j.ntt.2014.05.006 https://sciencedirect.com/science/article/pii/S0892036214001226 Neurotoxicology and Teratology schmidel_2014 schmidel_2014_exp_001 schmidel_2014_exp2_009 schmidel_2014_exp_001_assay_005 schmidel_2014_exp2_009_assay2_001 zebrafish Danio rerio labratory stock from commercial supplier not_wild mixed atrazine analytical 1912-24-9 in paper triazine 10 ug/L 14 days acetone solvent_used 27 celsius shoaling collective behaviour total number of interactions group arrangment NA NA fig3b schmidel_2014_fig3b 15.058824 128.000000 8 8 1432.0737130 253.6275665 253.6275665 1014.5102660 89.67088608 study reports mean and se exact sample size provided 8.500000 8.000000 128 8 1519.7952320 148.8683542 148.8683542 595.4734169 52.63291139 study reports mean and se exact sample size provided NA NA NA NA
NA NA GM KM Subchronic atrazine exposure changes defensive behaviour profile and disrupts brain acetylcholinesterase activity of zebrafish 10.1016/j.ntt.2014.05.006 https://sciencedirect.com/science/article/pii/S0892036214001226 Neurotoxicology and Teratology schmidel_2014 schmidel_2014_exp_002 schmidel_2014_exp2_010 schmidel_2014_exp_002_assay_005 schmidel_2014_exp2_010_assay2_001 zebrafish Danio rerio labratory stock from commercial supplier not_wild mixed atrazine analytical 1912-24-9 in paper triazine 1000 ug/L 14 days acetone solvent_used 27 celsius shoaling collective behaviour total number of interactions group arrangment NA NA fig3b schmidel_2014_fig3b 15.058824 128.000000 8 8 1432.0737130 253.6275665 253.6275665 1014.5102660 89.67088608 study reports mean and se exact sample size provided 8.500000 8.000000 128 8 1067.5420670 358.3867787 358.3867788 1433.5471150 126.7088608 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Environmentally Realistic Exposure to the Herbicide Atrazine Alters Some Sexually Selected Traits in Male Guppies 10.1371/journal.pone.0030611 https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0030611 Plos One shenoy_2012 shenoy_2012_exp_001 shenoy_2012_exp2_001 shenoy_2012_exp_001_assay_001 shenoy_2012_exp2_001_assay2_001 guppy Poecilia reticulata labratory stock from wild population not_wild male atrazine not reported 1912-24-9 https://commonchemistry.cas.org/detail?cas_rn=1912-24-9&search=1912-24-9 triazine 1 ppb 16 weeks DMSO solvent_used 25 celsius courting courtship number of displays in absence of competing male frequency of courtship behaviour count NA fig2a shenoy_2012_fig2a NA NA NA 17 19.8917569 8.3330673 NA NA 2.021065675 study does not state error type used, so we assumed to be SE exact sample size provided NA NA NA 17 14.1000516 11.8098620 NA NA 2.864312268 does not report error type exact sample size provided NA NA NA NA
NA NA NA KM Environmentally Realistic Exposure to the Herbicide Atrazine Alters Some Sexually Selected Traits in Male Guppies 10.1371/journal.pone.0030611 https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0030611 Plos One shenoy_2012 shenoy_2012_exp_002 shenoy_2012_exp2_002 shenoy_2012_exp_002_assay_001 shenoy_2012_exp2_002_assay2_001 guppy Poecilia reticulata labratory stock from wild population not_wild male atrazine not reported 1912-24-9 https://commonchemistry.cas.org/detail?cas_rn=1912-24-9&search=1912-24-9 triazine 15 ppb 16 weeks DMSO solvent_used 25 celsius courting courtship number of displays in absence of competing male frequency of courtship behaviour count NA fig2a shenoy_2012_fig2a NA NA NA 17 19.8917569 8.3330673 NA NA 2.021065675 study does not state error type used, so we assumed to be SE exact sample size provided NA NA NA 17 13.2164759 11.4244385 NA NA 2.770833333 does not report error type exact sample size provided NA NA NA NA
NA NA NA KM Environmentally Realistic Exposure to the Herbicide Atrazine Alters Some Sexually Selected Traits in Male Guppies 10.1371/journal.pone.0030611 https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0030611 Plos One shenoy_2012 shenoy_2012_exp_001 shenoy_2012_exp2_001 shenoy_2012_exp_001_assay_002 shenoy_2012_exp2_001_assay2_002 guppy Poecilia reticulata labratory stock from wild population not_wild male atrazine not reported 1912-24-9 https://commonchemistry.cas.org/detail?cas_rn=1912-24-9&search=1912-24-9 triazine 1 ppb 16 weeks DMSO solvent_used 25 celsius courting courtship number of mating attempts in absence of competing male frequency of courtship behaviour count NA fig2b shenoy_2012_fig2b NA NA NA 17 0.6531993 0.2939401 NA NA 0.071290944 study does not state error type used, so we assumed to be SE exact sample size provided NA NA NA 17 0.7630259 0.5163812 NA NA 0.125240848 does not report error type exact sample size provided NA NA NA NA
NA NA NA KM Environmentally Realistic Exposure to the Herbicide Atrazine Alters Some Sexually Selected Traits in Male Guppies 10.1371/journal.pone.0030611 https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0030611 Plos One shenoy_2012 shenoy_2012_exp_002 shenoy_2012_exp2_002 shenoy_2012_exp_002_assay_002 shenoy_2012_exp2_002_assay2_002 guppy Poecilia reticulata labratory stock from wild population not_wild male atrazine not reported 1912-24-9 https://commonchemistry.cas.org/detail?cas_rn=1912-24-9&search=1912-24-9 triazine 15 ppb 16 weeks DMSO solvent_used 25 celsius courting courtship number of mating attempts in absence of competing male frequency of courtship behaviour count NA fig2b shenoy_2012_fig2b NA NA NA 17 0.6531993 0.2939401 NA NA 0.071290944 study does not state error type used, so we assumed to be SE exact sample size provided NA NA NA 17 0.5452995 0.4607710 NA NA 0.111753372 does not report error type exact sample size provided NA NA NA NA
NA NA GM KM Effects of chlorpyrifos on reproductive performances of guppy (Poecilia reticulata) 10.1016/j.chemosphere.2004.10.030 https://www.sciencedirect.com/science/article/pii/S0045653504009919 Chemosphere silva_2005 silva_2005_exp_001 silva_2005_exp2_001 silva_2005_exp_001_assay_001 silva_2005_exp2_001_assay2_001 guppy Poecilia reticulata wild collected wild male chlorpyrifos commercial 2921-88-2 https://commonchemistry.cas.org/detail?cas_rn=2921-88-2&search=chlorpyrifos organophosphate 0.002 ug/L 3 days not reported NA 26 celsius mating courtship number of gonopodial thrusts frequency of courtship behaviour count NA fig2 silva_2005_fig2 NA NA NA 72 11.4702973 1.5373239 NA NA 0.181175364 study reports mean and se exact sample size provided NA NA NA 72 7.7084288 1.2259155 NA NA 0.144475526 study reports mean and se exact sample size provided NA NA NA NA
NA NA GM KM Effects of chlorpyrifos on reproductive performances of guppy (Poecilia reticulata) 10.1016/j.chemosphere.2004.10.030 https://www.sciencedirect.com/science/article/pii/S0045653504009919 Chemosphere silva_2005 silva_2005_exp_002 silva_2005_exp2_002 silva_2005_exp_002_assay_001 silva_2005_exp2_002_assay2_001 guppy Poecilia reticulata wild collected wild male chlorpyrifos commercial 2921-88-2 https://commonchemistry.cas.org/detail?cas_rn=2921-88-2&search=chlorpyrifos organophosphate 2 ug/L 3 days not reported NA 26 celsius mating courtship number of gonopodial thrusts frequency of courtship behaviour count NA fig2 silva_2005_fig2 NA NA NA 72 11.4702973 1.5373239 NA NA 0.181175364 study reports mean and se exact sample size provided NA NA NA 72 4.1219704 1.0746479 NA NA 0.126648468 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Toxicity and chronic effects of deltamethrin exposure on zebrafish (Danio rerio) as a reference model for freshwater fish community 10.1016/j.ecoenv.2019.01.057 https://www.sciencedirect.com/science/article/pii/S0147651319300661?via%3Dihub Ecotoxicology and Environmental Safety stungaru_2019 stungaru_2019_exp_001 stungaru_2019_exp2_001 stungaru_2019_exp_001_assay_001 stungaru_2019_exp_001_assay2_001 zebrafish Danio rerio commercial supplier not_wild mixed deltamethrin not reported 52918-63-5 https://commonchemistry.cas.org/detail?cas_rn=52918-63-5&search=deltamethrin pyrethroid 0.25 ug/L 1 days not reported NA 24 celsius aggression aggression percentage of time in left arm time spent in aggression zone zone NA fig1b treatment; fig1a control stungaru_2019_fig1b_treatment; stungaru_2019_fig1a_control NA NA NA 40 19.4069384 30.7277226 NA NA 4.858479532 study reports mean and se exact sample size provided NA NA NA 40 40.7818852 41.1839444 NA NA 6.511753372 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Toxicity and chronic effects of deltamethrin exposure on zebrafish (Danio rerio) as a reference model for freshwater fish community 10.1016/j.ecoenv.2019.01.057 https://www.sciencedirect.com/science/article/pii/S0147651319300661?via%3Dihub Ecotoxicology and Environmental Safety stungaru_2019 stungaru_2019_exp_001 stungaru_2019_exp2_001 stungaru_2019_exp_001_assay_002 stungaru_2019_exp_001_assay2_002 zebrafish Danio rerio commercial supplier not_wild mixed deltamethrin not reported 52918-63-5 https://commonchemistry.cas.org/detail?cas_rn=52918-63-5&search=deltamethrin pyrethroid 0.25 ug/L 2 days not reported NA 24 celsius aggression aggression percentage of time in left arm time spent in aggression zone zone NA fig1b treatment; fig1a control stungaru_2019_fig1b_treatment; stungaru_2019_fig1a_control NA NA NA 40 32.6771138 44.4864043 NA NA 7.033918129 study reports mean and se exact sample size provided NA NA NA 40 34.2701318 33.0631667 NA NA 5.227745665 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Toxicity and chronic effects of deltamethrin exposure on zebrafish (Danio rerio) as a reference model for freshwater fish community 10.1016/j.ecoenv.2019.01.057 https://www.sciencedirect.com/science/article/pii/S0147651319300661?via%3Dihub Ecotoxicology and Environmental Safety stungaru_2019 stungaru_2019_exp_001 stungaru_2019_exp2_001 stungaru_2019_exp_001_assay_003 stungaru_2019_exp_001_assay2_003 zebrafish Danio rerio commercial supplier not_wild mixed deltamethrin not reported 52918-63-5 https://commonchemistry.cas.org/detail?cas_rn=52918-63-5&search=deltamethrin pyrethroid 0.25 ug/L 3 days not reported NA 24 celsius aggression aggression percentage of time in left arm time spent in aggression zone zone NA fig1b treatment; fig1a control stungaru_2019_fig1b_treatment; stungaru_2019_fig1a_control NA NA NA 40 13.3157103 19.2621544 NA NA 3.045614035 study reports mean and se exact sample size provided NA NA NA 40 32.8944092 37.7036111 NA NA 5.961464355 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Toxicity and chronic effects of deltamethrin exposure on zebrafish (Danio rerio) as a reference model for freshwater fish community 10.1016/j.ecoenv.2019.01.057 https://www.sciencedirect.com/science/article/pii/S0147651319300661?via%3Dihub Ecotoxicology and Environmental Safety stungaru_2019 stungaru_2019_exp_001 stungaru_2019_exp2_001 stungaru_2019_exp_001_assay_004 stungaru_2019_exp_001_assay2_004 zebrafish Danio rerio commercial supplier not_wild mixed deltamethrin not reported 52918-63-5 https://commonchemistry.cas.org/detail?cas_rn=52918-63-5&search=deltamethrin pyrethroid 0.25 ug/L 4 days not reported NA 24 celsius aggression aggression percentage of time in left arm time spent in aggression zone zone NA fig1b treatment; fig1a control stungaru_2019_fig1b_treatment; stungaru_2019_fig1a_control NA NA NA 40 26.7309150 25.2242499 NA NA 3.988304094 study reports mean and se exact sample size provided NA NA NA 40 30.5098235 24.9423889 NA NA 3.943737958 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Toxicity and chronic effects of deltamethrin exposure on zebrafish (Danio rerio) as a reference model for freshwater fish community 10.1016/j.ecoenv.2019.01.057 https://www.sciencedirect.com/science/article/pii/S0147651319300661?via%3Dihub Ecotoxicology and Environmental Safety stungaru_2019 stungaru_2019_exp_001 stungaru_2019_exp2_001 stungaru_2019_exp_001_assay_005 stungaru_2019_exp_001_assay2_005 zebrafish Danio rerio commercial supplier not_wild mixed deltamethrin not reported 52918-63-5 https://commonchemistry.cas.org/detail?cas_rn=52918-63-5&search=deltamethrin pyrethroid 0.25 ug/L 5 days not reported NA 24 celsius aggression aggression percentage of time in left arm time spent in aggression zone zone NA fig1b treatment; fig1a control stungaru_2019_fig1b_treatment; stungaru_2019_fig1a_control NA NA NA 40 14.4759442 21.0966454 NA NA 3.335672515 study reports mean and se exact sample size provided NA NA NA 40 19.9626173 29.0027778 NA NA 4.585741811 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Toxicity and chronic effects of deltamethrin exposure on zebrafish (Danio rerio) as a reference model for freshwater fish community 10.1016/j.ecoenv.2019.01.057 https://www.sciencedirect.com/science/article/pii/S0147651319300661?via%3Dihub Ecotoxicology and Environmental Safety stungaru_2019 stungaru_2019_exp_001 stungaru_2019_exp2_001 stungaru_2019_exp_001_assay_006 stungaru_2019_exp_001_assay2_006 zebrafish Danio rerio commercial supplier not_wild mixed deltamethrin not reported 52918-63-5 https://commonchemistry.cas.org/detail?cas_rn=52918-63-5&search=deltamethrin pyrethroid 0.25 ug/L 6 days not reported NA 24 celsius aggression aggression percentage of time in left arm time spent in aggression zone zone NA fig1b treatment; fig1a control stungaru_2019_fig1b_treatment; stungaru_2019_fig1a_control NA NA NA 40 16.2888097 34.3967044 NA NA 5.438596491 study reports mean and se exact sample size provided NA NA NA 40 45.3676270 34.8033333 NA NA 5.502890173 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Toxicity and chronic effects of deltamethrin exposure on zebrafish (Danio rerio) as a reference model for freshwater fish community 10.1016/j.ecoenv.2019.01.057 https://www.sciencedirect.com/science/article/pii/S0147651319300661?via%3Dihub Ecotoxicology and Environmental Safety stungaru_2019 stungaru_2019_exp_001 stungaru_2019_exp2_001 stungaru_2019_exp_001_assay_007 stungaru_2019_exp_001_assay2_007 zebrafish Danio rerio commercial supplier not_wild mixed deltamethrin not reported 52918-63-5 https://commonchemistry.cas.org/detail?cas_rn=52918-63-5&search=deltamethrin pyrethroid 0.25 ug/L 7 days not reported NA 24 celsius aggression aggression percentage of time in left arm time spent in aggression zone zone NA fig1b treatment; fig1a control stungaru_2019_fig1b_treatment; stungaru_2019_fig1a_control NA NA NA 40 22.8151255 33.0208362 NA NA 5.221052632 study reports mean and se exact sample size provided NA NA NA 40 45.4593418 32.4831111 NA NA 5.136030829 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Toxicity and chronic effects of deltamethrin exposure on zebrafish (Danio rerio) as a reference model for freshwater fish community 10.1016/j.ecoenv.2019.01.057 https://www.sciencedirect.com/science/article/pii/S0147651319300661?via%3Dihub Ecotoxicology and Environmental Safety stungaru_2019 stungaru_2019_exp_001 stungaru_2019_exp2_001 stungaru_2019_exp_001_assay_008 stungaru_2019_exp_001_assay2_008 zebrafish Danio rerio commercial supplier not_wild mixed deltamethrin not reported 52918-63-5 https://commonchemistry.cas.org/detail?cas_rn=52918-63-5&search=deltamethrin pyrethroid 0.25 ug/L 8 days not reported NA 24 celsius aggression aggression percentage of time in left arm time spent in aggression zone zone NA fig1b treatment; fig1a control stungaru_2019_fig1b_treatment; stungaru_2019_fig1a_control NA NA NA 40 20.5671723 37.6070634 NA NA 5.94619883 study reports mean and se exact sample size provided NA NA NA 40 45.2759121 37.1235555 NA NA 5.869749518 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Toxicity and chronic effects of deltamethrin exposure on zebrafish (Danio rerio) as a reference model for freshwater fish community 10.1016/j.ecoenv.2019.01.057 https://www.sciencedirect.com/science/article/pii/S0147651319300661?via%3Dihub Ecotoxicology and Environmental Safety stungaru_2019 stungaru_2019_exp_001 stungaru_2019_exp2_001 stungaru_2019_exp_001_assay_009 stungaru_2019_exp_001_assay2_009 zebrafish Danio rerio commercial supplier not_wild mixed deltamethrin not reported 52918-63-5 https://commonchemistry.cas.org/detail?cas_rn=52918-63-5&search=deltamethrin pyrethroid 0.25 ug/L 9 days not reported NA 24 celsius aggression aggression percentage of time in left arm time spent in aggression zone zone NA fig1b treatment; fig1a control stungaru_2019_fig1b_treatment; stungaru_2019_fig1a_control NA NA NA 40 15.2736050 23.3897590 NA NA 3.698245614 study reports mean and se exact sample size provided NA NA NA 40 42.3410374 40.6038889 NA NA 6.420038536 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Toxicity and chronic effects of deltamethrin exposure on zebrafish (Danio rerio) as a reference model for freshwater fish community 10.1016/j.ecoenv.2019.01.057 https://www.sciencedirect.com/science/article/pii/S0147651319300661?via%3Dihub Ecotoxicology and Environmental Safety stungaru_2019 stungaru_2019_exp_001 stungaru_2019_exp2_001 stungaru_2019_exp_001_assay_010 stungaru_2019_exp_001_assay2_010 zebrafish Danio rerio commercial supplier not_wild mixed deltamethrin not reported 52918-63-5 https://commonchemistry.cas.org/detail?cas_rn=52918-63-5&search=deltamethrin pyrethroid 0.25 ug/L 10 days not reported NA 24 celsius aggression aggression percentage of time in left arm time spent in aggression zone zone NA fig1b treatment; fig1a control stungaru_2019_fig1b_treatment; stungaru_2019_fig1a_control NA NA NA 40 30.8642483 39.4415543 NA NA 6.23625731 study reports mean and se exact sample size provided NA NA NA 40 49.6782243 34.2232778 NA NA 5.411175337 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Toxicity and chronic effects of deltamethrin exposure on zebrafish (Danio rerio) as a reference model for freshwater fish community 10.1016/j.ecoenv.2019.01.057 https://www.sciencedirect.com/science/article/pii/S0147651319300661?via%3Dihub Ecotoxicology and Environmental Safety stungaru_2019 stungaru_2019_exp_001 stungaru_2019_exp2_001 stungaru_2019_exp_001_assay_011 stungaru_2019_exp_001_assay2_011 zebrafish Danio rerio commercial supplier not_wild mixed deltamethrin not reported 52918-63-5 https://commonchemistry.cas.org/detail?cas_rn=52918-63-5&search=deltamethrin pyrethroid 0.25 ug/L 11 days not reported NA 24 celsius aggression aggression percentage of time in left arm time spent in aggression zone zone NA fig1b treatment; fig1a control stungaru_2019_fig1b_treatment; stungaru_2019_fig1a_control NA NA NA 40 26.1444819 37.6637749 NA NA 5.955165692 study reports mean and se exact sample size provided NA NA NA 40 46.7433495 33.6432222 NA NA 5.319460501 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Toxicity and chronic effects of deltamethrin exposure on zebrafish (Danio rerio) as a reference model for freshwater fish community 10.1016/j.ecoenv.2019.01.057 https://www.sciencedirect.com/science/article/pii/S0147651319300661?via%3Dihub Ecotoxicology and Environmental Safety stungaru_2019 stungaru_2019_exp_001 stungaru_2019_exp2_001 stungaru_2019_exp_001_assay_012 stungaru_2019_exp_001_assay2_012 zebrafish Danio rerio commercial supplier not_wild mixed deltamethrin not reported 52918-63-5 https://commonchemistry.cas.org/detail?cas_rn=52918-63-5&search=deltamethrin pyrethroid 0.25 ug/L 12 days not reported NA 24 celsius aggression aggression percentage of time in left arm time spent in aggression zone zone NA fig1b treatment; fig1a control stungaru_2019_fig1b_treatment; stungaru_2019_fig1a_control NA NA NA 40 20.0060804 28.3926918 NA NA 4.489278752 study reports mean and se exact sample size provided NA NA NA 40 63.9181618 23.2948361 NA NA 3.683236994 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Toxicity and chronic effects of deltamethrin exposure on zebrafish (Danio rerio) as a reference model for freshwater fish community 10.1016/j.ecoenv.2019.01.057 https://www.sciencedirect.com/science/article/pii/S0147651319300661?via%3Dihub Ecotoxicology and Environmental Safety stungaru_2019 stungaru_2019_exp_001 stungaru_2019_exp2_001 stungaru_2019_exp_001_assay_013 stungaru_2019_exp_001_assay2_013 zebrafish Danio rerio commercial supplier not_wild mixed deltamethrin not reported 52918-63-5 https://commonchemistry.cas.org/detail?cas_rn=52918-63-5&search=deltamethrin pyrethroid 0.25 ug/L 13 days not reported NA 24 celsius aggression aggression percentage of time in left arm time spent in aggression zone zone NA fig1b treatment; fig1a control stungaru_2019_fig1b_treatment; stungaru_2019_fig1a_control NA NA NA 40 40.0704078 46.9348579 NA NA 7.421052632 study reports mean and se exact sample size provided NA NA NA 40 47.1875260 32.7707017 NA NA 5.18150289 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Toxicity and chronic effects of deltamethrin exposure on zebrafish (Danio rerio) as a reference model for freshwater fish community 10.1016/j.ecoenv.2019.01.057 https://www.sciencedirect.com/science/article/pii/S0147651319300661?via%3Dihub Ecotoxicology and Environmental Safety stungaru_2019 stungaru_2019_exp_001 stungaru_2019_exp2_001 stungaru_2019_exp_001_assay_014 stungaru_2019_exp_001_assay2_014 zebrafish Danio rerio commercial supplier not_wild mixed deltamethrin not reported 52918-63-5 https://commonchemistry.cas.org/detail?cas_rn=52918-63-5&search=deltamethrin pyrethroid 0.25 ug/L 14 days not reported NA 24 celsius aggression aggression percentage of time in left arm time spent in aggression zone zone NA fig1b treatment; fig1a control stungaru_2019_fig1b_treatment; stungaru_2019_fig1a_control NA NA NA 40 21.1971135 37.0843322 NA NA 5.863547758 study reports mean and se exact sample size provided NA NA NA 40 49.3724971 28.0327689 NA NA 4.432369942 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Toxicity and chronic effects of deltamethrin exposure on zebrafish (Danio rerio) as a reference model for freshwater fish community 10.1016/j.ecoenv.2019.01.057 https://www.sciencedirect.com/science/article/pii/S0147651319300661?via%3Dihub Ecotoxicology and Environmental Safety stungaru_2019 stungaru_2019_exp_001 stungaru_2019_exp2_001 stungaru_2019_exp_001_assay_015 stungaru_2019_exp_001_assay2_015 zebrafish Danio rerio commercial supplier not_wild mixed deltamethrin not reported 52918-63-5 https://commonchemistry.cas.org/detail?cas_rn=52918-63-5&search=deltamethrin pyrethroid 0.25 ug/L 15 days not reported NA 24 celsius aggression aggression percentage of time in left arm time spent in aggression zone zone NA fig1b treatment; fig1a control stungaru_2019_fig1b_treatment; stungaru_2019_fig1a_control NA NA NA 40 45.9339556 39.4021029 NA NA 6.230019493 study reports mean and se exact sample size provided NA NA NA 40 54.0545780 38.2982899 NA NA 6.055491329 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Toxicity and chronic effects of deltamethrin exposure on zebrafish (Danio rerio) as a reference model for freshwater fish community 10.1016/j.ecoenv.2019.01.057 https://www.sciencedirect.com/science/article/pii/S0147651319300661?via%3Dihub Ecotoxicology and Environmental Safety stungaru_2019 stungaru_2019_exp_002 stungaru_2019_exp2_002 stungaru_2019_exp_002_assay_001 stungaru_2019_exp_002_assay2_001 zebrafish Danio rerio commercial supplier not_wild mixed deltamethrin not reported 52918-63-5 https://commonchemistry.cas.org/detail?cas_rn=52918-63-5&search=deltamethrin pyrethroid 0.5 ug/L 1 days not reported NA 24 celsius aggression aggression percentage of time in left arm time spent in aggression zone zone NA fig1c treatment; fig1a control stungaru_2019_fig1c_treatment; stungaru_2019_fig1a_control NA NA NA 40 19.4069384 30.7277226 NA NA 4.858479532 study reports mean and se exact sample size provided NA NA NA 40 41.3431110 46.6391789 NA NA 7.374301676 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Toxicity and chronic effects of deltamethrin exposure on zebrafish (Danio rerio) as a reference model for freshwater fish community 10.1016/j.ecoenv.2019.01.057 https://www.sciencedirect.com/science/article/pii/S0147651319300661?via%3Dihub Ecotoxicology and Environmental Safety stungaru_2019 stungaru_2019_exp_002 stungaru_2019_exp2_002 stungaru_2019_exp_002_assay_002 stungaru_2019_exp_002_assay2_002 zebrafish Danio rerio commercial supplier not_wild mixed deltamethrin not reported 52918-63-5 https://commonchemistry.cas.org/detail?cas_rn=52918-63-5&search=deltamethrin pyrethroid 0.5 ug/L 2 days not reported NA 24 celsius aggression aggression percentage of time in left arm time spent in aggression zone zone NA fig1c treatment; fig1a control stungaru_2019_fig1c_treatment; stungaru_2019_fig1a_control NA NA NA 40 32.6771138 44.4864043 NA NA 7.033918129 study reports mean and se exact sample size provided NA NA NA 40 60.7839819 34.1119553 NA NA 5.393573711 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Toxicity and chronic effects of deltamethrin exposure on zebrafish (Danio rerio) as a reference model for freshwater fish community 10.1016/j.ecoenv.2019.01.057 https://www.sciencedirect.com/science/article/pii/S0147651319300661?via%3Dihub Ecotoxicology and Environmental Safety stungaru_2019 stungaru_2019_exp_002 stungaru_2019_exp2_002 stungaru_2019_exp_002_assay_003 stungaru_2019_exp_002_assay2_003 zebrafish Danio rerio commercial supplier not_wild mixed deltamethrin not reported 52918-63-5 https://commonchemistry.cas.org/detail?cas_rn=52918-63-5&search=deltamethrin pyrethroid 0.5 ug/L 3 days not reported NA 24 celsius aggression aggression percentage of time in left arm time spent in aggression zone zone NA fig1c treatment; fig1a control stungaru_2019_fig1c_treatment; stungaru_2019_fig1a_control NA NA NA 40 13.3157103 19.2621544 NA NA 3.045614035 study reports mean and se exact sample size provided NA NA NA 40 51.6423315 37.0027990 NA NA 5.850656229 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Toxicity and chronic effects of deltamethrin exposure on zebrafish (Danio rerio) as a reference model for freshwater fish community 10.1016/j.ecoenv.2019.01.057 https://www.sciencedirect.com/science/article/pii/S0147651319300661?via%3Dihub Ecotoxicology and Environmental Safety stungaru_2019 stungaru_2019_exp_002 stungaru_2019_exp2_002 stungaru_2019_exp_002_assay_004 stungaru_2019_exp_002_assay2_004 zebrafish Danio rerio commercial supplier not_wild mixed deltamethrin not reported 52918-63-5 https://commonchemistry.cas.org/detail?cas_rn=52918-63-5&search=deltamethrin pyrethroid 0.5 ug/L 4 days not reported NA 24 celsius aggression aggression percentage of time in left arm time spent in aggression zone zone NA fig1c treatment; fig1a control stungaru_2019_fig1c_treatment; stungaru_2019_fig1a_control NA NA NA 40 26.7309150 25.2242499 NA NA 3.988304094 study reports mean and se exact sample size provided NA NA NA 40 36.4671920 30.6429429 NA NA 4.845074689 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Toxicity and chronic effects of deltamethrin exposure on zebrafish (Danio rerio) as a reference model for freshwater fish community 10.1016/j.ecoenv.2019.01.057 https://www.sciencedirect.com/science/article/pii/S0147651319300661?via%3Dihub Ecotoxicology and Environmental Safety stungaru_2019 stungaru_2019_exp_002 stungaru_2019_exp2_002 stungaru_2019_exp_002_assay_005 stungaru_2019_exp_002_assay2_005 zebrafish Danio rerio commercial supplier not_wild mixed deltamethrin not reported 52918-63-5 https://commonchemistry.cas.org/detail?cas_rn=52918-63-5&search=deltamethrin pyrethroid 0.5 ug/L 5 days not reported NA 24 celsius aggression aggression percentage of time in left arm time spent in aggression zone zone NA fig1c treatment; fig1a control stungaru_2019_fig1c_treatment; stungaru_2019_fig1a_control NA NA NA 40 14.4759442 21.0966454 NA NA 3.335672515 study reports mean and se exact sample size provided NA NA NA 40 48.5341704 31.2211116 NA NA 4.936491193 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Toxicity and chronic effects of deltamethrin exposure on zebrafish (Danio rerio) as a reference model for freshwater fish community 10.1016/j.ecoenv.2019.01.057 https://www.sciencedirect.com/science/article/pii/S0147651319300661?via%3Dihub Ecotoxicology and Environmental Safety stungaru_2019 stungaru_2019_exp_002 stungaru_2019_exp2_002 stungaru_2019_exp_002_assay_006 stungaru_2019_exp_002_assay2_006 zebrafish Danio rerio commercial supplier not_wild mixed deltamethrin not reported 52918-63-5 https://commonchemistry.cas.org/detail?cas_rn=52918-63-5&search=deltamethrin pyrethroid 0.5 ug/L 6 days not reported NA 24 celsius aggression aggression percentage of time in left arm time spent in aggression zone zone NA fig1c treatment; fig1a control stungaru_2019_fig1c_treatment; stungaru_2019_fig1a_control NA NA NA 40 16.2888097 34.3967044 NA NA 5.438596491 study reports mean and se exact sample size provided NA NA NA 40 58.9556518 49.7225111 NA NA 7.861819307 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Toxicity and chronic effects of deltamethrin exposure on zebrafish (Danio rerio) as a reference model for freshwater fish community 10.1016/j.ecoenv.2019.01.057 https://www.sciencedirect.com/science/article/pii/S0147651319300661?via%3Dihub Ecotoxicology and Environmental Safety stungaru_2019 stungaru_2019_exp_002 stungaru_2019_exp2_002 stungaru_2019_exp_002_assay_007 stungaru_2019_exp_002_assay2_007 zebrafish Danio rerio commercial supplier not_wild mixed deltamethrin not reported 52918-63-5 https://commonchemistry.cas.org/detail?cas_rn=52918-63-5&search=deltamethrin pyrethroid 0.5 ug/L 7 days not reported NA 24 celsius aggression aggression percentage of time in left arm time spent in aggression zone zone NA fig1c treatment; fig1a control stungaru_2019_fig1c_treatment; stungaru_2019_fig1a_control NA NA NA 40 22.8151255 33.0208362 NA NA 5.221052632 study reports mean and se exact sample size provided NA NA NA 40 56.7616557 46.2534987 NA NA 7.313320286 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Toxicity and chronic effects of deltamethrin exposure on zebrafish (Danio rerio) as a reference model for freshwater fish community 10.1016/j.ecoenv.2019.01.057 https://www.sciencedirect.com/science/article/pii/S0147651319300661?via%3Dihub Ecotoxicology and Environmental Safety stungaru_2019 stungaru_2019_exp_002 stungaru_2019_exp2_002 stungaru_2019_exp_002_assay_008 stungaru_2019_exp_002_assay2_008 zebrafish Danio rerio commercial supplier not_wild mixed deltamethrin not reported 52918-63-5 https://commonchemistry.cas.org/detail?cas_rn=52918-63-5&search=deltamethrin pyrethroid 0.5 ug/L 8 days not reported NA 24 celsius aggression aggression percentage of time in left arm time spent in aggression zone zone NA fig1c treatment; fig1a control stungaru_2019_fig1c_treatment; stungaru_2019_fig1a_control NA NA NA 40 20.5671723 37.6070634 NA NA 5.94619883 study reports mean and se exact sample size provided NA NA NA 40 59.0470683 41.0499801 NA NA 6.490571754 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Toxicity and chronic effects of deltamethrin exposure on zebrafish (Danio rerio) as a reference model for freshwater fish community 10.1016/j.ecoenv.2019.01.057 https://www.sciencedirect.com/science/article/pii/S0147651319300661?via%3Dihub Ecotoxicology and Environmental Safety stungaru_2019 stungaru_2019_exp_002 stungaru_2019_exp2_002 stungaru_2019_exp_002_assay_009 stungaru_2019_exp_002_assay2_009 zebrafish Danio rerio commercial supplier not_wild mixed deltamethrin not reported 52918-63-5 https://commonchemistry.cas.org/detail?cas_rn=52918-63-5&search=deltamethrin pyrethroid 0.5 ug/L 9 days not reported NA 24 celsius aggression aggression percentage of time in left arm time spent in aggression zone zone NA fig1c treatment; fig1a control stungaru_2019_fig1c_treatment; stungaru_2019_fig1a_control NA NA NA 40 15.2736050 23.3897590 NA NA 3.698245614 study reports mean and se exact sample size provided NA NA NA 40 59.1384848 50.3006799 NA NA 7.953235811 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Toxicity and chronic effects of deltamethrin exposure on zebrafish (Danio rerio) as a reference model for freshwater fish community 10.1016/j.ecoenv.2019.01.057 https://www.sciencedirect.com/science/article/pii/S0147651319300661?via%3Dihub Ecotoxicology and Environmental Safety stungaru_2019 stungaru_2019_exp_002 stungaru_2019_exp2_002 stungaru_2019_exp_002_assay_010 stungaru_2019_exp_002_assay2_010 zebrafish Danio rerio commercial supplier not_wild mixed deltamethrin not reported 52918-63-5 https://commonchemistry.cas.org/detail?cas_rn=52918-63-5&search=deltamethrin pyrethroid 0.5 ug/L 10 days not reported NA 24 celsius aggression aggression percentage of time in left arm time spent in aggression zone zone NA fig1c treatment; fig1a control stungaru_2019_fig1c_treatment; stungaru_2019_fig1a_control NA NA NA 40 30.8642483 39.4415543 NA NA 6.23625731 study reports mean and se exact sample size provided NA NA NA 40 64.3492255 45.0971613 NA NA 7.130487279 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Toxicity and chronic effects of deltamethrin exposure on zebrafish (Danio rerio) as a reference model for freshwater fish community 10.1016/j.ecoenv.2019.01.057 https://www.sciencedirect.com/science/article/pii/S0147651319300661?via%3Dihub Ecotoxicology and Environmental Safety stungaru_2019 stungaru_2019_exp_002 stungaru_2019_exp2_002 stungaru_2019_exp_002_assay_011 stungaru_2019_exp_002_assay2_011 zebrafish Danio rerio commercial supplier not_wild mixed deltamethrin not reported 52918-63-5 https://commonchemistry.cas.org/detail?cas_rn=52918-63-5&search=deltamethrin pyrethroid 0.5 ug/L 11 days not reported NA 24 celsius aggression aggression percentage of time in left arm time spent in aggression zone zone NA fig1c treatment; fig1a control stungaru_2019_fig1c_treatment; stungaru_2019_fig1a_control NA NA NA 40 26.1444819 37.6637749 NA NA 5.955165692 study reports mean and se exact sample size provided NA NA NA 40 65.7204731 54.3478610 NA NA 8.593151336 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Toxicity and chronic effects of deltamethrin exposure on zebrafish (Danio rerio) as a reference model for freshwater fish community 10.1016/j.ecoenv.2019.01.057 https://www.sciencedirect.com/science/article/pii/S0147651319300661?via%3Dihub Ecotoxicology and Environmental Safety stungaru_2019 stungaru_2019_exp_002 stungaru_2019_exp2_002 stungaru_2019_exp_002_assay_012 stungaru_2019_exp_002_assay2_012 zebrafish Danio rerio commercial supplier not_wild mixed deltamethrin not reported 52918-63-5 https://commonchemistry.cas.org/detail?cas_rn=52918-63-5&search=deltamethrin pyrethroid 0.5 ug/L 12 days not reported NA 24 celsius aggression aggression percentage of time in left arm time spent in aggression zone zone NA fig1c treatment; fig1a control stungaru_2019_fig1c_treatment; stungaru_2019_fig1a_control NA NA NA 40 20.0060804 28.3926918 NA NA 4.489278752 study reports mean and se exact sample size provided NA NA NA 40 63.7093100 37.5809677 NA NA 5.942072732 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Toxicity and chronic effects of deltamethrin exposure on zebrafish (Danio rerio) as a reference model for freshwater fish community 10.1016/j.ecoenv.2019.01.057 https://www.sciencedirect.com/science/article/pii/S0147651319300661?via%3Dihub Ecotoxicology and Environmental Safety stungaru_2019 stungaru_2019_exp_002 stungaru_2019_exp2_002 stungaru_2019_exp_002_assay_013 stungaru_2019_exp_002_assay2_013 zebrafish Danio rerio commercial supplier not_wild mixed deltamethrin not reported 52918-63-5 https://commonchemistry.cas.org/detail?cas_rn=52918-63-5&search=deltamethrin pyrethroid 0.5 ug/L 13 days not reported NA 24 celsius aggression aggression percentage of time in left arm time spent in aggression zone zone NA fig1c treatment; fig1a control stungaru_2019_fig1c_treatment; stungaru_2019_fig1a_control NA NA NA 40 40.0704078 46.9348579 NA NA 7.421052632 study reports mean and se exact sample size provided NA NA NA 40 66.8174711 34.6901240 NA NA 5.484990214 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Toxicity and chronic effects of deltamethrin exposure on zebrafish (Danio rerio) as a reference model for freshwater fish community 10.1016/j.ecoenv.2019.01.057 https://www.sciencedirect.com/science/article/pii/S0147651319300661?via%3Dihub Ecotoxicology and Environmental Safety stungaru_2019 stungaru_2019_exp_002 stungaru_2019_exp2_002 stungaru_2019_exp_002_assay_014 stungaru_2019_exp_002_assay2_014 zebrafish Danio rerio commercial supplier not_wild mixed deltamethrin not reported 52918-63-5 https://commonchemistry.cas.org/detail?cas_rn=52918-63-5&search=deltamethrin pyrethroid 0.5 ug/L 14 days not reported NA 24 celsius aggression aggression percentage of time in left arm time spent in aggression zone zone NA fig1c treatment; fig1a control stungaru_2019_fig1c_treatment; stungaru_2019_fig1a_control NA NA NA 40 21.1971135 37.0843322 NA NA 5.863547758 study reports mean and se exact sample size provided NA NA NA 40 65.6055131 39.2428647 NA NA 6.204841713 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Toxicity and chronic effects of deltamethrin exposure on zebrafish (Danio rerio) as a reference model for freshwater fish community 10.1016/j.ecoenv.2019.01.057 https://www.sciencedirect.com/science/article/pii/S0147651319300661?via%3Dihub Ecotoxicology and Environmental Safety stungaru_2019 stungaru_2019_exp_002 stungaru_2019_exp2_002 stungaru_2019_exp_002_assay_015 stungaru_2019_exp_002_assay2_015 zebrafish Danio rerio commercial supplier not_wild mixed deltamethrin not reported 52918-63-5 https://commonchemistry.cas.org/detail?cas_rn=52918-63-5&search=deltamethrin pyrethroid 0.5 ug/L 15 days not reported NA 24 celsius aggression aggression percentage of time in left arm time spent in aggression zone zone NA fig1c treatment; fig1a control stungaru_2019_fig1c_treatment; stungaru_2019_fig1a_control NA NA NA 40 45.9339556 39.4021029 NA NA 6.230019493 study reports mean and se exact sample size provided NA NA NA 40 66.2703176 38.6422086 NA NA 6.109869646 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Toxicity and chronic effects of deltamethrin exposure on zebrafish (Danio rerio) as a reference model for freshwater fish community 10.1016/j.ecoenv.2019.01.057 https://www.sciencedirect.com/science/article/pii/S0147651319300661?via%3Dihub Ecotoxicology and Environmental Safety stungaru_2019 stungaru_2019_exp_003 stungaru_2019_exp2_003 stungaru_2019_exp_003_assay_001 stungaru_2019_exp_003_assay2_001 zebrafish Danio rerio commercial supplier not_wild mixed deltamethrin not reported 52918-63-5 https://commonchemistry.cas.org/detail?cas_rn=52918-63-5&search=deltamethrin pyrethroid 1 ug/L 1 days not reported NA 24 celsius aggression aggression percentage of time in left arm time spent in aggression zone zone NA fig1d treatment; fig1a control stungaru_2019_fig1d_treatment; stungaru_2019_fig1a_control NA NA NA 40 19.4069384 30.7277226 NA NA 4.858479532 study reports mean and se exact sample size provided NA NA NA 40 29.4996597 20.9557904 NA NA 3.313401392 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Toxicity and chronic effects of deltamethrin exposure on zebrafish (Danio rerio) as a reference model for freshwater fish community 10.1016/j.ecoenv.2019.01.057 https://www.sciencedirect.com/science/article/pii/S0147651319300661?via%3Dihub Ecotoxicology and Environmental Safety stungaru_2019 stungaru_2019_exp_003 stungaru_2019_exp2_003 stungaru_2019_exp_003_assay_002 stungaru_2019_exp_003_assay2_002 zebrafish Danio rerio commercial supplier not_wild mixed deltamethrin not reported 52918-63-5 https://commonchemistry.cas.org/detail?cas_rn=52918-63-5&search=deltamethrin pyrethroid 1 ug/L 2 days not reported NA 24 celsius aggression aggression percentage of time in left arm time spent in aggression zone zone NA fig1d treatment; fig1a control stungaru_2019_fig1d_treatment; stungaru_2019_fig1a_control NA NA NA 40 32.6771138 44.4864043 NA NA 7.033918129 study reports mean and se exact sample size provided NA NA NA 40 45.8181616 18.8602114 NA NA 2.982061253 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Toxicity and chronic effects of deltamethrin exposure on zebrafish (Danio rerio) as a reference model for freshwater fish community 10.1016/j.ecoenv.2019.01.057 https://www.sciencedirect.com/science/article/pii/S0147651319300661?via%3Dihub Ecotoxicology and Environmental Safety stungaru_2019 stungaru_2019_exp_003 stungaru_2019_exp2_003 stungaru_2019_exp_003_assay_003 stungaru_2019_exp_003_assay2_003 zebrafish Danio rerio commercial supplier not_wild mixed deltamethrin not reported 52918-63-5 https://commonchemistry.cas.org/detail?cas_rn=52918-63-5&search=deltamethrin pyrethroid 1 ug/L 3 days not reported NA 24 celsius aggression aggression percentage of time in left arm time spent in aggression zone zone NA fig1d treatment; fig1a control stungaru_2019_fig1d_treatment; stungaru_2019_fig1a_control NA NA NA 40 13.3157103 19.2621544 NA NA 3.045614035 study reports mean and se exact sample size provided NA NA NA 40 36.1264625 55.0089498 NA NA 8.697678654 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Toxicity and chronic effects of deltamethrin exposure on zebrafish (Danio rerio) as a reference model for freshwater fish community 10.1016/j.ecoenv.2019.01.057 https://www.sciencedirect.com/science/article/pii/S0147651319300661?via%3Dihub Ecotoxicology and Environmental Safety stungaru_2019 stungaru_2019_exp_003 stungaru_2019_exp2_003 stungaru_2019_exp_003_assay_004 stungaru_2019_exp_003_assay2_004 zebrafish Danio rerio commercial supplier not_wild mixed deltamethrin not reported 52918-63-5 https://commonchemistry.cas.org/detail?cas_rn=52918-63-5&search=deltamethrin pyrethroid 1 ug/L 4 days not reported NA 24 celsius aggression aggression percentage of time in left arm time spent in aggression zone zone NA fig1d treatment; fig1a control stungaru_2019_fig1d_treatment; stungaru_2019_fig1a_control NA NA NA 40 26.7309150 25.2242499 NA NA 3.988304094 study reports mean and se exact sample size provided NA NA NA 40 28.1742991 30.9097908 NA NA 4.887267053 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Toxicity and chronic effects of deltamethrin exposure on zebrafish (Danio rerio) as a reference model for freshwater fish community 10.1016/j.ecoenv.2019.01.057 https://www.sciencedirect.com/science/article/pii/S0147651319300661?via%3Dihub Ecotoxicology and Environmental Safety stungaru_2019 stungaru_2019_exp_003 stungaru_2019_exp2_003 stungaru_2019_exp_003_assay_005 stungaru_2019_exp_003_assay2_005 zebrafish Danio rerio commercial supplier not_wild mixed deltamethrin not reported 52918-63-5 https://commonchemistry.cas.org/detail?cas_rn=52918-63-5&search=deltamethrin pyrethroid 1 ug/L 5 days not reported NA 24 celsius aggression aggression percentage of time in left arm time spent in aggression zone zone NA fig1d treatment; fig1a control stungaru_2019_fig1d_treatment; stungaru_2019_fig1a_control NA NA NA 40 14.4759442 21.0966454 NA NA 3.335672515 study reports mean and se exact sample size provided NA NA NA 40 41.6764098 40.3398965 NA NA 6.37829768 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Toxicity and chronic effects of deltamethrin exposure on zebrafish (Danio rerio) as a reference model for freshwater fish community 10.1016/j.ecoenv.2019.01.057 https://www.sciencedirect.com/science/article/pii/S0147651319300661?via%3Dihub Ecotoxicology and Environmental Safety stungaru_2019 stungaru_2019_exp_003 stungaru_2019_exp2_003 stungaru_2019_exp_003_assay_006 stungaru_2019_exp_003_assay2_006 zebrafish Danio rerio commercial supplier not_wild mixed deltamethrin not reported 52918-63-5 https://commonchemistry.cas.org/detail?cas_rn=52918-63-5&search=deltamethrin pyrethroid 1 ug/L 6 days not reported NA 24 celsius aggression aggression percentage of time in left arm time spent in aggression zone zone NA fig1d treatment; fig1a control stungaru_2019_fig1d_treatment; stungaru_2019_fig1a_control NA NA NA 40 16.2888097 34.3967044 NA NA 5.438596491 study reports mean and se exact sample size provided NA NA NA 40 30.0795049 27.7664223 NA NA 4.390256844 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Toxicity and chronic effects of deltamethrin exposure on zebrafish (Danio rerio) as a reference model for freshwater fish community 10.1016/j.ecoenv.2019.01.057 https://www.sciencedirect.com/science/article/pii/S0147651319300661?via%3Dihub Ecotoxicology and Environmental Safety stungaru_2019 stungaru_2019_exp_003 stungaru_2019_exp2_003 stungaru_2019_exp_003_assay_007 stungaru_2019_exp_003_assay2_007 zebrafish Danio rerio commercial supplier not_wild mixed deltamethrin not reported 52918-63-5 https://commonchemistry.cas.org/detail?cas_rn=52918-63-5&search=deltamethrin pyrethroid 1 ug/L 7 days not reported NA 24 celsius aggression aggression percentage of time in left arm time spent in aggression zone zone NA fig1d treatment; fig1a control stungaru_2019_fig1d_treatment; stungaru_2019_fig1a_control NA NA NA 40 22.8151255 33.0208362 NA NA 5.221052632 study reports mean and se exact sample size provided NA NA NA 40 48.7173878 34.5770542 NA NA 5.467112297 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Toxicity and chronic effects of deltamethrin exposure on zebrafish (Danio rerio) as a reference model for freshwater fish community 10.1016/j.ecoenv.2019.01.057 https://www.sciencedirect.com/science/article/pii/S0147651319300661?via%3Dihub Ecotoxicology and Environmental Safety stungaru_2019 stungaru_2019_exp_003 stungaru_2019_exp2_003 stungaru_2019_exp_003_assay_008 stungaru_2019_exp_003_assay2_008 zebrafish Danio rerio commercial supplier not_wild mixed deltamethrin not reported 52918-63-5 https://commonchemistry.cas.org/detail?cas_rn=52918-63-5&search=deltamethrin pyrethroid 1 ug/L 8 days not reported NA 24 celsius aggression aggression percentage of time in left arm time spent in aggression zone zone NA fig1d treatment; fig1a control stungaru_2019_fig1d_treatment; stungaru_2019_fig1a_control NA NA NA 40 20.5671723 37.6070634 NA NA 5.94619883 study reports mean and se exact sample size provided NA NA NA 40 52.2792943 37.7204227 NA NA 5.964122506 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Toxicity and chronic effects of deltamethrin exposure on zebrafish (Danio rerio) as a reference model for freshwater fish community 10.1016/j.ecoenv.2019.01.057 https://www.sciencedirect.com/science/article/pii/S0147651319300661?via%3Dihub Ecotoxicology and Environmental Safety stungaru_2019 stungaru_2019_exp_003 stungaru_2019_exp2_003 stungaru_2019_exp_003_assay_009 stungaru_2019_exp_003_assay2_009 zebrafish Danio rerio commercial supplier not_wild mixed deltamethrin not reported 52918-63-5 https://commonchemistry.cas.org/detail?cas_rn=52918-63-5&search=deltamethrin pyrethroid 1 ug/L 9 days not reported NA 24 celsius aggression aggression percentage of time in left arm time spent in aggression zone zone NA fig1d treatment; fig1a control stungaru_2019_fig1d_treatment; stungaru_2019_fig1a_control NA NA NA 40 15.2736050 23.3897590 NA NA 3.698245614 study reports mean and se exact sample size provided NA NA NA 40 42.2562551 31.9575804 NA NA 5.052937123 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Toxicity and chronic effects of deltamethrin exposure on zebrafish (Danio rerio) as a reference model for freshwater fish community 10.1016/j.ecoenv.2019.01.057 https://www.sciencedirect.com/science/article/pii/S0147651319300661?via%3Dihub Ecotoxicology and Environmental Safety stungaru_2019 stungaru_2019_exp_003 stungaru_2019_exp2_003 stungaru_2019_exp_003_assay_010 stungaru_2019_exp_003_assay2_010 zebrafish Danio rerio commercial supplier not_wild mixed deltamethrin not reported 52918-63-5 https://commonchemistry.cas.org/detail?cas_rn=52918-63-5&search=deltamethrin pyrethroid 1 ug/L 10 days not reported NA 24 celsius aggression aggression percentage of time in left arm time spent in aggression zone zone NA fig1d treatment; fig1a control stungaru_2019_fig1d_treatment; stungaru_2019_fig1a_control NA NA NA 40 30.8642483 39.4415543 NA NA 6.23625731 study reports mean and se exact sample size provided NA NA NA 40 44.1614609 41.3876860 NA NA 6.543967749 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Toxicity and chronic effects of deltamethrin exposure on zebrafish (Danio rerio) as a reference model for freshwater fish community 10.1016/j.ecoenv.2019.01.057 https://www.sciencedirect.com/science/article/pii/S0147651319300661?via%3Dihub Ecotoxicology and Environmental Safety stungaru_2019 stungaru_2019_exp_003 stungaru_2019_exp2_003 stungaru_2019_exp_003_assay_011 stungaru_2019_exp_003_assay2_011 zebrafish Danio rerio commercial supplier not_wild mixed deltamethrin not reported 52918-63-5 https://commonchemistry.cas.org/detail?cas_rn=52918-63-5&search=deltamethrin pyrethroid 1 ug/L 11 days not reported NA 24 celsius aggression aggression percentage of time in left arm time spent in aggression zone zone NA fig1d treatment; fig1a control stungaru_2019_fig1d_treatment; stungaru_2019_fig1a_control NA NA NA 40 26.1444819 37.6637749 NA NA 5.955165692 study reports mean and se exact sample size provided NA NA NA 40 50.6225936 24.6230537 NA NA 3.893246636 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Toxicity and chronic effects of deltamethrin exposure on zebrafish (Danio rerio) as a reference model for freshwater fish community 10.1016/j.ecoenv.2019.01.057 https://www.sciencedirect.com/science/article/pii/S0147651319300661?via%3Dihub Ecotoxicology and Environmental Safety stungaru_2019 stungaru_2019_exp_003 stungaru_2019_exp2_003 stungaru_2019_exp_003_assay_012 stungaru_2019_exp_003_assay2_012 zebrafish Danio rerio commercial supplier not_wild mixed deltamethrin not reported 52918-63-5 https://commonchemistry.cas.org/detail?cas_rn=52918-63-5&search=deltamethrin pyrethroid 1 ug/L 12 days not reported NA 24 celsius aggression aggression percentage of time in left arm time spent in aggression zone zone NA fig1d treatment; fig1a control stungaru_2019_fig1d_treatment; stungaru_2019_fig1a_control NA NA NA 40 20.0060804 28.3926918 NA NA 4.489278752 study reports mean and se exact sample size provided NA NA NA 40 33.8899165 27.2425275 NA NA 4.30742181 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Toxicity and chronic effects of deltamethrin exposure on zebrafish (Danio rerio) as a reference model for freshwater fish community 10.1016/j.ecoenv.2019.01.057 https://www.sciencedirect.com/science/article/pii/S0147651319300661?via%3Dihub Ecotoxicology and Environmental Safety stungaru_2019 stungaru_2019_exp_003 stungaru_2019_exp2_003 stungaru_2019_exp_003_assay_013 stungaru_2019_exp_003_assay2_013 zebrafish Danio rerio commercial supplier not_wild mixed deltamethrin not reported 52918-63-5 https://commonchemistry.cas.org/detail?cas_rn=52918-63-5&search=deltamethrin pyrethroid 1 ug/L 13 days not reported NA 24 celsius aggression aggression percentage of time in left arm time spent in aggression zone zone NA fig1d treatment; fig1a control stungaru_2019_fig1d_treatment; stungaru_2019_fig1a_control NA NA NA 40 40.0704078 46.9348579 NA NA 7.421052632 study reports mean and se exact sample size provided NA NA NA 40 48.2203776 30.3858961 NA NA 4.804432018 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Toxicity and chronic effects of deltamethrin exposure on zebrafish (Danio rerio) as a reference model for freshwater fish community 10.1016/j.ecoenv.2019.01.057 https://www.sciencedirect.com/science/article/pii/S0147651319300661?via%3Dihub Ecotoxicology and Environmental Safety stungaru_2019 stungaru_2019_exp_003 stungaru_2019_exp2_003 stungaru_2019_exp_003_assay_014 stungaru_2019_exp_003_assay2_014 zebrafish Danio rerio commercial supplier not_wild mixed deltamethrin not reported 52918-63-5 https://commonchemistry.cas.org/detail?cas_rn=52918-63-5&search=deltamethrin pyrethroid 1 ug/L 14 days not reported NA 24 celsius aggression aggression percentage of time in left arm time spent in aggression zone zone NA fig1d treatment; fig1a control stungaru_2019_fig1d_treatment; stungaru_2019_fig1a_control NA NA NA 40 21.1971135 37.0843322 NA NA 5.863547758 study reports mean and se exact sample size provided NA NA NA 40 48.3032126 35.6248437 NA NA 5.632782366 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Toxicity and chronic effects of deltamethrin exposure on zebrafish (Danio rerio) as a reference model for freshwater fish community 10.1016/j.ecoenv.2019.01.057 https://www.sciencedirect.com/science/article/pii/S0147651319300661?via%3Dihub Ecotoxicology and Environmental Safety stungaru_2019 stungaru_2019_exp_003 stungaru_2019_exp2_003 stungaru_2019_exp_003_assay_015 stungaru_2019_exp_003_assay2_015 zebrafish Danio rerio commercial supplier not_wild mixed deltamethrin not reported 52918-63-5 https://commonchemistry.cas.org/detail?cas_rn=52918-63-5&search=deltamethrin pyrethroid 1 ug/L 15 days not reported NA 24 celsius aggression aggression percentage of time in left arm time spent in aggression zone zone NA fig1d treatment; fig1a control stungaru_2019_fig1d_treatment; stungaru_2019_fig1a_control NA NA NA 40 45.9339556 39.4021029 NA NA 6.230019493 study reports mean and se exact sample size provided NA NA NA 40 48.2203776 38.7682122 NA NA 6.129792575 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Toxicity and chronic effects of deltamethrin exposure on zebrafish (Danio rerio) as a reference model for freshwater fish community 10.1016/j.ecoenv.2019.01.057 https://www.sciencedirect.com/science/article/pii/S0147651319300661?via%3Dihub Ecotoxicology and Environmental Safety stungaru_2019 stungaru_2019_exp_004 stungaru_2019_exp2_004 stungaru_2019_exp_004_assay_001 stungaru_2019_exp_004_assay2_001 zebrafish Danio rerio commercial supplier not_wild mixed deltamethrin not reported 52918-63-5 https://commonchemistry.cas.org/detail?cas_rn=52918-63-5&search=deltamethrin pyrethroid 2 ug/L 1 days not reported NA 24 celsius aggression aggression percentage of time in left arm time spent in aggression zone zone NA fig1e treatment; fig1a control stungaru_2019_fig1e_treatment; stungaru_2019_fig1a_control NA NA NA 40 19.4069384 30.7277226 NA NA 4.858479532 study reports mean and se exact sample size provided NA NA NA 40 35.2396820 45.4287155 NA NA 7.182910613 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Toxicity and chronic effects of deltamethrin exposure on zebrafish (Danio rerio) as a reference model for freshwater fish community 10.1016/j.ecoenv.2019.01.057 https://www.sciencedirect.com/science/article/pii/S0147651319300661?via%3Dihub Ecotoxicology and Environmental Safety stungaru_2019 stungaru_2019_exp_004 stungaru_2019_exp2_004 stungaru_2019_exp_004_assay_002 stungaru_2019_exp_004_assay2_002 zebrafish Danio rerio commercial supplier not_wild mixed deltamethrin not reported 52918-63-5 https://commonchemistry.cas.org/detail?cas_rn=52918-63-5&search=deltamethrin pyrethroid 2 ug/L 2 days not reported NA 24 celsius aggression aggression percentage of time in left arm time spent in aggression zone zone NA fig1e treatment; fig1a control stungaru_2019_fig1e_treatment; stungaru_2019_fig1a_control NA NA NA 40 32.6771138 44.4864043 NA NA 7.033918129 study reports mean and se exact sample size provided NA NA NA 40 31.1165532 33.8514678 NA NA 5.352387017 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Toxicity and chronic effects of deltamethrin exposure on zebrafish (Danio rerio) as a reference model for freshwater fish community 10.1016/j.ecoenv.2019.01.057 https://www.sciencedirect.com/science/article/pii/S0147651319300661?via%3Dihub Ecotoxicology and Environmental Safety stungaru_2019 stungaru_2019_exp_004 stungaru_2019_exp2_004 stungaru_2019_exp_004_assay_003 stungaru_2019_exp_004_assay2_003 zebrafish Danio rerio commercial supplier not_wild mixed deltamethrin not reported 52918-63-5 https://commonchemistry.cas.org/detail?cas_rn=52918-63-5&search=deltamethrin pyrethroid 2 ug/L 3 days not reported NA 24 celsius aggression aggression percentage of time in left arm time spent in aggression zone zone NA fig1e treatment; fig1a control stungaru_2019_fig1e_treatment; stungaru_2019_fig1a_control NA NA NA 40 13.3157103 19.2621544 NA NA 3.045614035 study reports mean and se exact sample size provided NA NA NA 40 37.3774530 29.2041743 NA NA 4.617585394 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Toxicity and chronic effects of deltamethrin exposure on zebrafish (Danio rerio) as a reference model for freshwater fish community 10.1016/j.ecoenv.2019.01.057 https://www.sciencedirect.com/science/article/pii/S0147651319300661?via%3Dihub Ecotoxicology and Environmental Safety stungaru_2019 stungaru_2019_exp_004 stungaru_2019_exp2_004 stungaru_2019_exp_004_assay_004 stungaru_2019_exp_004_assay2_004 zebrafish Danio rerio commercial supplier not_wild mixed deltamethrin not reported 52918-63-5 https://commonchemistry.cas.org/detail?cas_rn=52918-63-5&search=deltamethrin pyrethroid 2 ug/L 4 days not reported NA 24 celsius aggression aggression percentage of time in left arm time spent in aggression zone zone NA fig1e treatment; fig1a control stungaru_2019_fig1e_treatment; stungaru_2019_fig1a_control NA NA NA 40 26.7309150 25.2242499 NA NA 3.988304094 study reports mean and se exact sample size provided NA NA NA 40 26.9451305 32.9899006 NA NA 5.216161278 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Toxicity and chronic effects of deltamethrin exposure on zebrafish (Danio rerio) as a reference model for freshwater fish community 10.1016/j.ecoenv.2019.01.057 https://www.sciencedirect.com/science/article/pii/S0147651319300661?via%3Dihub Ecotoxicology and Environmental Safety stungaru_2019 stungaru_2019_exp_004 stungaru_2019_exp2_004 stungaru_2019_exp_004_assay_005 stungaru_2019_exp_004_assay2_005 zebrafish Danio rerio commercial supplier not_wild mixed deltamethrin not reported 52918-63-5 https://commonchemistry.cas.org/detail?cas_rn=52918-63-5&search=deltamethrin pyrethroid 2 ug/L 5 days not reported NA 24 celsius aggression aggression percentage of time in left arm time spent in aggression zone zone NA fig1e treatment; fig1a control stungaru_2019_fig1e_treatment; stungaru_2019_fig1a_control NA NA NA 40 14.4759442 21.0966454 NA NA 3.335672515 study reports mean and se exact sample size provided NA NA NA 40 37.9760289 35.1531727 NA NA 5.558204641 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Toxicity and chronic effects of deltamethrin exposure on zebrafish (Danio rerio) as a reference model for freshwater fish community 10.1016/j.ecoenv.2019.01.057 https://www.sciencedirect.com/science/article/pii/S0147651319300661?via%3Dihub Ecotoxicology and Environmental Safety stungaru_2019 stungaru_2019_exp_004 stungaru_2019_exp2_004 stungaru_2019_exp_004_assay_006 stungaru_2019_exp_004_assay2_006 zebrafish Danio rerio commercial supplier not_wild mixed deltamethrin not reported 52918-63-5 https://commonchemistry.cas.org/detail?cas_rn=52918-63-5&search=deltamethrin pyrethroid 2 ug/L 6 days not reported NA 24 celsius aggression aggression percentage of time in left arm time spent in aggression zone zone NA fig1e treatment; fig1a control stungaru_2019_fig1e_treatment; stungaru_2019_fig1a_control NA NA NA 40 16.2888097 34.3967044 NA NA 5.438596491 study reports mean and se exact sample size provided NA NA NA 40 49.1779490 38.9388990 NA NA 6.156780525 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Toxicity and chronic effects of deltamethrin exposure on zebrafish (Danio rerio) as a reference model for freshwater fish community 10.1016/j.ecoenv.2019.01.057 https://www.sciencedirect.com/science/article/pii/S0147651319300661?via%3Dihub Ecotoxicology and Environmental Safety stungaru_2019 stungaru_2019_exp_004 stungaru_2019_exp2_004 stungaru_2019_exp_004_assay_007 stungaru_2019_exp_004_assay2_007 zebrafish Danio rerio commercial supplier not_wild mixed deltamethrin not reported 52918-63-5 https://commonchemistry.cas.org/detail?cas_rn=52918-63-5&search=deltamethrin pyrethroid 2 ug/L 7 days not reported NA 24 celsius aggression aggression percentage of time in left arm time spent in aggression zone zone NA fig1e treatment; fig1a control stungaru_2019_fig1e_treatment; stungaru_2019_fig1a_control NA NA NA 40 22.8151255 33.0208362 NA NA 5.221052632 study reports mean and se exact sample size provided NA NA NA 40 50.5461225 34.6123547 NA NA 5.4726938 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Toxicity and chronic effects of deltamethrin exposure on zebrafish (Danio rerio) as a reference model for freshwater fish community 10.1016/j.ecoenv.2019.01.057 https://www.sciencedirect.com/science/article/pii/S0147651319300661?via%3Dihub Ecotoxicology and Environmental Safety stungaru_2019 stungaru_2019_exp_004 stungaru_2019_exp2_004 stungaru_2019_exp_004_assay_008 stungaru_2019_exp_004_assay2_008 zebrafish Danio rerio commercial supplier not_wild mixed deltamethrin not reported 52918-63-5 https://commonchemistry.cas.org/detail?cas_rn=52918-63-5&search=deltamethrin pyrethroid 2 ug/L 8 days not reported NA 24 celsius aggression aggression percentage of time in left arm time spent in aggression zone zone NA fig1e treatment; fig1a control stungaru_2019_fig1e_treatment; stungaru_2019_fig1a_control NA NA NA 40 20.5671723 37.6070634 NA NA 5.94619883 study reports mean and se exact sample size provided NA NA NA 40 50.1185683 32.9899006 NA NA 5.216161278 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Toxicity and chronic effects of deltamethrin exposure on zebrafish (Danio rerio) as a reference model for freshwater fish community 10.1016/j.ecoenv.2019.01.057 https://www.sciencedirect.com/science/article/pii/S0147651319300661?via%3Dihub Ecotoxicology and Environmental Safety stungaru_2019 stungaru_2019_exp_004 stungaru_2019_exp2_004 stungaru_2019_exp_004_assay_009 stungaru_2019_exp_004_assay2_009 zebrafish Danio rerio commercial supplier not_wild mixed deltamethrin not reported 52918-63-5 https://commonchemistry.cas.org/detail?cas_rn=52918-63-5&search=deltamethrin pyrethroid 2 ug/L 9 days not reported NA 24 celsius aggression aggression percentage of time in left arm time spent in aggression zone zone NA fig1e treatment; fig1a control stungaru_2019_fig1e_treatment; stungaru_2019_fig1a_control NA NA NA 40 15.2736050 23.3897590 NA NA 3.698245614 study reports mean and se exact sample size provided NA NA NA 40 49.8620358 37.3164449 NA NA 5.900248003 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Toxicity and chronic effects of deltamethrin exposure on zebrafish (Danio rerio) as a reference model for freshwater fish community 10.1016/j.ecoenv.2019.01.057 https://www.sciencedirect.com/science/article/pii/S0147651319300661?via%3Dihub Ecotoxicology and Environmental Safety stungaru_2019 stungaru_2019_exp_004 stungaru_2019_exp2_004 stungaru_2019_exp_004_assay_010 stungaru_2019_exp_004_assay2_010 zebrafish Danio rerio commercial supplier not_wild mixed deltamethrin not reported 52918-63-5 https://commonchemistry.cas.org/detail?cas_rn=52918-63-5&search=deltamethrin pyrethroid 2 ug/L 10 days not reported NA 24 celsius aggression aggression percentage of time in left arm time spent in aggression zone zone NA fig1e treatment; fig1a control stungaru_2019_fig1e_treatment; stungaru_2019_fig1a_control NA NA NA 40 30.8642483 39.4415543 NA NA 6.23625731 study reports mean and se exact sample size provided NA NA NA 40 54.9926862 29.2041743 NA NA 4.617585394 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Toxicity and chronic effects of deltamethrin exposure on zebrafish (Danio rerio) as a reference model for freshwater fish community 10.1016/j.ecoenv.2019.01.057 https://www.sciencedirect.com/science/article/pii/S0147651319300661?via%3Dihub Ecotoxicology and Environmental Safety stungaru_2019 stungaru_2019_exp_004 stungaru_2019_exp2_004 stungaru_2019_exp_004_assay_011 stungaru_2019_exp_004_assay2_011 zebrafish Danio rerio commercial supplier not_wild mixed deltamethrin not reported 52918-63-5 https://commonchemistry.cas.org/detail?cas_rn=52918-63-5&search=deltamethrin pyrethroid 2 ug/L 11 days not reported NA 24 celsius aggression aggression percentage of time in left arm time spent in aggression zone zone NA fig1e treatment; fig1a control stungaru_2019_fig1e_treatment; stungaru_2019_fig1a_control NA NA NA 40 26.1444819 37.6637749 NA NA 5.955165692 study reports mean and se exact sample size provided NA NA NA 40 39.9427783 41.6429892 NA NA 6.584334728 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Toxicity and chronic effects of deltamethrin exposure on zebrafish (Danio rerio) as a reference model for freshwater fish community 10.1016/j.ecoenv.2019.01.057 https://www.sciencedirect.com/science/article/pii/S0147651319300661?via%3Dihub Ecotoxicology and Environmental Safety stungaru_2019 stungaru_2019_exp_004 stungaru_2019_exp2_004 stungaru_2019_exp_004_assay_012 stungaru_2019_exp_004_assay2_012 zebrafish Danio rerio commercial supplier not_wild mixed deltamethrin not reported 52918-63-5 https://commonchemistry.cas.org/detail?cas_rn=52918-63-5&search=deltamethrin pyrethroid 2 ug/L 12 days not reported NA 24 celsius aggression aggression percentage of time in left arm time spent in aggression zone zone NA fig1e treatment; fig1a control stungaru_2019_fig1e_treatment; stungaru_2019_fig1a_control NA NA NA 40 20.0060804 28.3926918 NA NA 4.489278752 study reports mean and se exact sample size provided NA NA NA 40 53.4534911 28.6633562 NA NA 4.532074553 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Toxicity and chronic effects of deltamethrin exposure on zebrafish (Danio rerio) as a reference model for freshwater fish community 10.1016/j.ecoenv.2019.01.057 https://www.sciencedirect.com/science/article/pii/S0147651319300661?via%3Dihub Ecotoxicology and Environmental Safety stungaru_2019 stungaru_2019_exp_004 stungaru_2019_exp2_004 stungaru_2019_exp_004_assay_013 stungaru_2019_exp_004_assay2_013 zebrafish Danio rerio commercial supplier not_wild mixed deltamethrin not reported 52918-63-5 https://commonchemistry.cas.org/detail?cas_rn=52918-63-5&search=deltamethrin pyrethroid 2 ug/L 13 days not reported NA 24 celsius aggression aggression percentage of time in left arm time spent in aggression zone zone NA fig1e treatment; fig1a control stungaru_2019_fig1e_treatment; stungaru_2019_fig1a_control NA NA NA 40 40.0704078 46.9348579 NA NA 7.421052632 study reports mean and se exact sample size provided NA NA NA 40 50.3751008 36.2348088 NA NA 5.729226322 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Toxicity and chronic effects of deltamethrin exposure on zebrafish (Danio rerio) as a reference model for freshwater fish community 10.1016/j.ecoenv.2019.01.057 https://www.sciencedirect.com/science/article/pii/S0147651319300661?via%3Dihub Ecotoxicology and Environmental Safety stungaru_2019 stungaru_2019_exp_004 stungaru_2019_exp2_004 stungaru_2019_exp_004_assay_014 stungaru_2019_exp_004_assay2_014 zebrafish Danio rerio commercial supplier not_wild mixed deltamethrin not reported 52918-63-5 https://commonchemistry.cas.org/detail?cas_rn=52918-63-5&search=deltamethrin pyrethroid 2 ug/L 14 days not reported NA 24 celsius aggression aggression percentage of time in left arm time spent in aggression zone zone NA fig1e treatment; fig1a control stungaru_2019_fig1e_treatment; stungaru_2019_fig1a_control NA NA NA 40 21.1971135 37.0843322 NA NA 5.863547758 study reports mean and se exact sample size provided NA NA NA 40 42.5936143 29.2041743 NA NA 4.617585394 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Toxicity and chronic effects of deltamethrin exposure on zebrafish (Danio rerio) as a reference model for freshwater fish community 10.1016/j.ecoenv.2019.01.057 https://www.sciencedirect.com/science/article/pii/S0147651319300661?via%3Dihub Ecotoxicology and Environmental Safety stungaru_2019 stungaru_2019_exp_004 stungaru_2019_exp2_004 stungaru_2019_exp_004_assay_015 stungaru_2019_exp_004_assay2_015 zebrafish Danio rerio commercial supplier not_wild mixed deltamethrin not reported 52918-63-5 https://commonchemistry.cas.org/detail?cas_rn=52918-63-5&search=deltamethrin pyrethroid 2 ug/L 15 days not reported NA 24 celsius aggression aggression percentage of time in left arm time spent in aggression zone zone NA fig1e treatment; fig1a control stungaru_2019_fig1e_treatment; stungaru_2019_fig1a_control NA NA NA 40 45.9339556 39.4021029 NA NA 6.230019493 study reports mean and se exact sample size provided NA NA NA 40 49.6910141 29.7449923 NA NA 4.703096234 study reports mean and se exact sample size provided NA NA NA NA
150 across 5 groups - took n = 30 NA GM KM Household based-pyrethroids on adult zebrafish (Danio rerio) exert behavioral and cholinergic changes in different brain regions 10.1016/j.neuro.2023.02.011 https://www.sciencedirect.com/science/article/pii/S0161813X23000323?via%3Dihub Neurotoxicology tamagno_2023 tamagno_2023_exp_001 tamagno_2023_exp2_001 tamagno_2023_exp_001_assay_001 tamagno_2023_exp2_001_assay2_001 zebrafish Danio rerio laboratory stock from not specified source not_wild not reported prallethrin commercial 23031-36-9 https://commonchemistry.cas.org/detail?cas_rn=23031-36-9&search=prallethrin pyrethroid not reported not reported 7 days not reported NA 28 celsius social interaction sociality time in conspecific segment time spent in social zone zone NA fig3b tamagno_2023_fig3b NA NA NA NA 79.1972873 NA NA NA 7.943262411 study reports mean and se but no sample size no sample size reported NA NA NA NA 62.6017278 NA NA NA 5.644208038 study reports mean and se but no sample size no sample size reported NA NA NA NA
150 across 5 groups - took n = 30 NA GM KM Household based-pyrethroids on adult zebrafish (Danio rerio) exert behavioral and cholinergic changes in different brain regions 10.1016/j.neuro.2023.02.011 https://www.sciencedirect.com/science/article/pii/S0161813X23000323?via%3Dihub Neurotoxicology tamagno_2023 tamagno_2023_exp_002 tamagno_2023_exp2_002 tamagno_2023_exp_002_assay_001 tamagno_2023_exp2_002_assay2_001 zebrafish Danio rerio laboratory stock from not specified source not_wild not reported prallethrin commercial 23031-36-9 https://commonchemistry.cas.org/detail?cas_rn=23031-36-9&search=prallethrin pyrethroid not reported not reported 7 days not reported NA 28 celsius social interaction sociality time in conspecific segment time spent in social zone zone NA fig3b tamagno_2023_fig3b NA NA NA NA 79.1972873 NA NA NA 7.943262411 study reports mean and se but no sample size no sample size reported NA NA NA NA 33.4776143 NA NA NA 6.885933806 study reports mean and se but no sample size no sample size reported NA NA NA NA
150 across 5 groups - took n = 30 NA GM KM Household based-pyrethroids on adult zebrafish (Danio rerio) exert behavioral and cholinergic changes in different brain regions 10.1016/j.neuro.2023.02.011 https://www.sciencedirect.com/science/article/pii/S0161813X23000323?via%3Dihub Neurotoxicology tamagno_2023 tamagno_2023_exp_003 tamagno_2023_exp2_003 tamagno_2023_exp_003_assay_001 tamagno_2023_exp2_003_assay2_001 zebrafish Danio rerio laboratory stock from not specified source not_wild not reported transfluthrin commercial 118712-89-3 https://commonchemistry.cas.org/detail?cas_rn=118712-89-3&search=transfluthrin pyrethroid not reported not reported 7 days not reported NA 28 celsius social interaction sociality time in conspecific segment time spent in social zone zone NA fig3b tamagno_2023_fig3b NA NA NA NA 79.1972873 NA NA NA 7.943262411 study reports mean and se but no sample size no sample size reported NA NA NA NA 39.6989173 NA NA NA 8.441489362 study reports mean and se but no sample size no sample size reported NA NA NA NA
150 across 5 groups - took n = 30 NA GM KM Household based-pyrethroids on adult zebrafish (Danio rerio) exert behavioral and cholinergic changes in different brain regions 10.1016/j.neuro.2023.02.011 https://www.sciencedirect.com/science/article/pii/S0161813X23000323?via%3Dihub Neurotoxicology tamagno_2023 tamagno_2023_exp_004 tamagno_2023_exp2_004 tamagno_2023_exp_004_assay_001 tamagno_2023_exp2_004_assay2_001 zebrafish Danio rerio laboratory stock from not specified source not_wild not reported transfluthrin commercial 118712-89-3 https://commonchemistry.cas.org/detail?cas_rn=118712-89-3&search=transfluthrin pyrethroid not reported not reported 7 days not reported NA 28 celsius social interaction sociality time in conspecific segment time spent in social zone zone NA fig3b tamagno_2023_fig3b NA NA NA NA 79.1972873 NA NA NA 7.943262411 study reports mean and se but no sample size no sample size reported NA NA NA NA 49.2414705 NA NA NA 8.196808511 study reports mean and se but no sample size no sample size reported NA NA NA NA
NA NA GM KM Household based-pyrethroids on adult zebrafish (Danio rerio) exert behavioral and cholinergic changes in different brain regions 10.1016/j.neuro.2023.02.011 https://www.sciencedirect.com/science/article/pii/S0161813X23000323?via%3Dihub Neurotoxicology tamagno_2023 tamagno_2023_exp_001 tamagno_2023_exp2_005 tamagno_2023_exp_001_assay_002 tamagno_2023_exp2_005_assay2_001 zebrafish Danio rerio laboratory stock from not specified source not_wild not reported prallethrin commercial 23031-36-9 https://commonchemistry.cas.org/detail?cas_rn=23031-36-9&search=prallethrin pyrethroid not reported not reported 7 days not reported NA 28 celsius shoaling test collective behaviour distance among fish in a shoal group arrangment NA change fig4 tamagno_2023_fig4 1.600000 1.000000 4 4 10.8954991 1.0286458 0.5143229 1.0286458 0.514322917 study reports mean and se Four fish of each concentration were placed in the aquarium and were kept for 1<a0>min during the acclimatization period. 1.600000 1.000000 4 4 16.0570202 1.5274306 0.7637153 1.5274306 0.763715278 study reports mean and se but no sample size no sample size reported NA NA NA NA
NA NA GM KM Household based-pyrethroids on adult zebrafish (Danio rerio) exert behavioral and cholinergic changes in different brain regions 10.1016/j.neuro.2023.02.011 https://www.sciencedirect.com/science/article/pii/S0161813X23000323?via%3Dihub Neurotoxicology tamagno_2023 tamagno_2023_exp_002 tamagno_2023_exp2_006 tamagno_2023_exp_002_assay_002 tamagno_2023_exp2_006_assay2_001 zebrafish Danio rerio laboratory stock from not specified source not_wild not reported prallethrin commercial 23031-36-9 https://commonchemistry.cas.org/detail?cas_rn=23031-36-9&search=prallethrin pyrethroid not reported not reported 7 days not reported NA 28 celsius shoaling test collective behaviour distance among fish in a shoal group arrangment NA change fig4 tamagno_2023_fig4 1.600000 1.000000 4 4 10.8954991 1.0286458 0.5143229 1.0286458 0.514322917 study reports mean and se Four fish of each concentration were placed in the aquarium and were kept for 1<a0>min during the acclimatization period. 1.600000 1.000000 4 4 16.1352820 1.4444444 0.7222222 1.4444444 0.722222222 study reports mean and se but no sample size no sample size reported NA NA NA NA
NA NA GM KM Household based-pyrethroids on adult zebrafish (Danio rerio) exert behavioral and cholinergic changes in different brain regions 10.1016/j.neuro.2023.02.011 https://www.sciencedirect.com/science/article/pii/S0161813X23000323?via%3Dihub Neurotoxicology tamagno_2023 tamagno_2023_exp_003 tamagno_2023_exp2_007 tamagno_2023_exp_003_assay_002 tamagno_2023_exp2_007_assay2_001 zebrafish Danio rerio laboratory stock from not specified source not_wild not reported transfluthrin commercial 118712-89-3 https://commonchemistry.cas.org/detail?cas_rn=118712-89-3&search=transfluthrin pyrethroid not reported not reported 7 days not reported NA 28 celsius shoaling test collective behaviour distance among fish in a shoal group arrangment NA change fig4 tamagno_2023_fig4 1.600000 1.000000 4 4 10.8954991 1.0286458 0.5143229 1.0286458 0.514322917 study reports mean and se Four fish of each concentration were placed in the aquarium and were kept for 1<a0>min during the acclimatization period. 1.600000 1.000000 4 4 15.3541417 1.4875000 0.7437500 1.4875000 0.74375 study reports mean and se but no sample size no sample size reported NA NA NA NA
NA NA NA KM Household based-pyrethroids on adult zebrafish (Danio rerio) exert behavioral and cholinergic changes in different brain regions 10.1016/j.neuro.2023.02.011 https://www.sciencedirect.com/science/article/pii/S0161813X23000323?via%3Dihub Neurotoxicology tamagno_2023 tamagno_2023_exp_004 tamagno_2023_exp2_008 tamagno_2023_exp_004_assay_002 tamagno_2023_exp2_008_assay2_001 zebrafish Danio rerio laboratory stock from not specified source not_wild not reported transfluthrin commercial 118712-89-3 https://commonchemistry.cas.org/detail?cas_rn=118712-89-3&search=transfluthrin pyrethroid not reported not reported 7 days not reported NA 28 celsius shoaling test collective behaviour distance among fish in a shoal group arrangment NA change fig4 tamagno_2023_fig4 1.600000 1.000000 4 4 10.8954991 1.0286458 0.5143229 1.0286458 0.514322917 study reports mean and se Four fish of each concentration were placed in the aquarium and were kept for 1<a0>min during the acclimatization period. 1.600000 1.000000 4 4 16.3148369 1.3333333 0.6666667 1.3333333 0.666666667 study reports mean and se but no sample size no sample size reported NA NA NA NA
NA NA NA KM Effects of Acrobat MZ<ae> and Tattoo C<ae> on Japanese medaka (Oryzias latipes) development and adult male behavior 10.1016/S0166-445X(00)00124-7 https://www.sciencedirect.com/science/article/pii/S0166445X00001247 Aquatic Toxicology teather_2001 teather_2001_exp_001 teather_2001_exp2_001 teather_2001_exp_001_assay_001 teather_2001_exp2_001_assay_001 Japanese medaka Oryzias latipes not reported NA male acrobat commercial 119446-68-3 https://commonchemistry.cas.org/detail?cas_rn=119446-68-3&search=difenoconazole triazole 0.4 mg/L 28 days none none 25 celsius courting courtship number of approaches to female frequency of courtship behaviour count NA fig3a teather_2001_fig3a NA NA NA 20 51.1581869 38.3355721 NA NA 8.572094508 study reports mean and se exact sample size provided in text (Section 2.3.1) NA NA NA 20 34.3267729 26.2993579 NA NA 5.880715198 study reports mean and se exact sample size provided in text (Section 2.3.1) NA NA NA NA
NA NA NA KM Effects of Acrobat MZ<ae> and Tattoo C<ae> on Japanese medaka (Oryzias latipes) development and adult male behavior 10.1016/S0166-445X(00)00124-8 https://www.sciencedirect.com/science/article/pii/S0166445X00001247 Aquatic Toxicology teather_2001 teather_2001_exp_002 teather_2001_exp2_002 teather_2001_exp_002_assay_001 teather_2001_exp2_002_assay_001 Japanese medaka Oryzias latipes not reported NA male acrobat commercial 119446-68-3 https://commonchemistry.cas.org/detail?cas_rn=119446-68-3&search=difenoconazole triazole 1 mg/L 28 days none none 25 celsius courting courtship number of approaches to female frequency of courtship behaviour count NA fig3a teather_2001_fig3a NA NA NA 20 51.1581869 38.3355721 NA NA 8.572094508 study reports mean and se exact sample size provided in text (Section 2.3.1) NA NA NA 20 17.1201586 10.5614307 NA NA 2.361607705 study reports mean and se exact sample size provided in text (Section 2.3.1) NA NA NA NA
NA NA NA KM Effects of Acrobat MZ<ae> and Tattoo C<ae> on Japanese medaka (Oryzias latipes) development and adult male behavior 10.1016/S0166-445X(00)00124-9 https://www.sciencedirect.com/science/article/pii/S0166445X00001247 Aquatic Toxicology teather_2001 teather_2001_exp_003 teather_2001_exp2_003 teather_2001_exp_003_assay_001 teather_2001_exp2_003_assay_001 Japanese medaka Oryzias latipes not reported NA male acrobat commercial 119446-68-3 https://commonchemistry.cas.org/detail?cas_rn=119446-68-3&search=difenoconazole triazole 2 mg/L 28 days none none 25 celsius courting courtship number of approaches to female frequency of courtship behaviour count NA fig3a teather_2001_fig3a NA NA NA 20 51.1581869 38.3355721 NA NA 8.572094508 study reports mean and se exact sample size provided in text (Section 2.3.1) NA NA NA 20 14.0697487 18.4825038 NA NA 4.132813484 study reports mean and se exact sample size provided in text (Section 2.3.1) NA NA NA NA
NA NA NA KM Effects of Acrobat MZ<ae> and Tattoo C<ae> on Japanese medaka (Oryzias latipes) development and adult male behavior 10.1016/S0166-445X(00)00124-10 https://www.sciencedirect.com/science/article/pii/S0166445X00001247 Aquatic Toxicology teather_2001 teather_2001_exp_004 teather_2001_exp2_004 teather_2001_exp_004_assay_001 teather_2001_exp2_004_assay_001 Japanese medaka Oryzias latipes not reported NA male tattoo c commercial 1897-45-6 https://commonchemistry.cas.org/detail?cas_rn=1897-45-6&search=chlorothalonil organochlorine 0.04 mg/L 28 days none none 25 celsius courting courtship number of approaches to female frequency of courtship behaviour count NA fig3b teather_2001_fig3b NA NA NA 20 51.1562994 38.3404452 NA NA 8.573184176 study reports mean and se exact sample size provided in text (Section 2.3.1) NA NA NA 20 22.5838814 28.8687687 NA NA 6.455252918 study reports mean and se exact sample size provided in text (Section 2.3.1) NA NA NA NA
NA NA NA KM Effects of Acrobat MZ<ae> and Tattoo C<ae> on Japanese medaka (Oryzias latipes) development and adult male behavior 10.1016/S0166-445X(00)00124-11 https://www.sciencedirect.com/science/article/pii/S0166445X00001247 Aquatic Toxicology teather_2001 teather_2001_exp_005 teather_2001_exp2_005 teather_2001_exp_005_assay_001 teather_2001_exp2_005_assay_001 Japanese medaka Oryzias latipes not reported NA male tattoo c commercial 1897-45-6 https://commonchemistry.cas.org/detail?cas_rn=1897-45-6&search=chlorothalonil organochlorine 0.1 mg/L 28 days none none 25 celsius courting courtship number of approaches to female frequency of courtship behaviour count NA fig3b teather_2001_fig3b NA NA NA 20 51.1562994 38.3404452 NA NA 8.573184176 study reports mean and se exact sample size provided in text (Section 2.3.1) NA NA NA 20 30.0891991 40.0955121 NA NA 8.965629053 study reports mean and se exact sample size provided in text (Section 2.3.1) NA NA NA NA
NA NA NA KM Effects of Acrobat MZ<ae> and Tattoo C<ae> on Japanese medaka (Oryzias latipes) development and adult male behavior 10.1016/S0166-445X(00)00124-12 https://www.sciencedirect.com/science/article/pii/S0166445X00001247 Aquatic Toxicology teather_2001 teather_2001_exp_006 teather_2001_exp2_006 teather_2001_exp_006_assay_001 teather_2001_exp2_006_assay_001 Japanese medaka Oryzias latipes not reported NA male tattoo c commercial 1897-45-6 https://commonchemistry.cas.org/detail?cas_rn=1897-45-6&search=chlorothalonil organochlorine 0.2 mg/L 28 days none none 25 celsius courting courtship number of approaches to female frequency of courtship behaviour count NA fig3b teather_2001_fig3b NA NA NA 20 51.1562994 38.3404452 NA NA 8.573184176 study reports mean and se exact sample size provided in text (Section 2.3.1) NA NA NA 20 20.9542790 22.1905820 NA NA 4.961964981 study reports mean and se exact sample size provided in text (Section 2.3.1) NA NA NA NA
NA NA NA KM Molecular Mechanisms of Tebuconazole Affecting the Social Behavior and Reproduction of Zebrafish <a0>10.3390/ijerph20053928 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10002025/#:~:text=Consequently%2C%20TEB%20might%20influence%20the,affecting%20the%20reproduction%20of%20zebrafish. Environmental Research and Public Health yan_2023 yan_2023_exp_001 yan_2023_exp2_001 yan_2023_exp_001_assay_001 yan_2023_exp2_001_assay2_001 zebrafish Danio rerio commercial supplier not_wild female tebuconazole analytical 107534-96-3 in paper triazole 0.4 mg/L 21 days none none 27 celsius social interaction sociality number of contacts frequency of social behaviour count NA fig4d yan_2023_fig4d NA NA NA 16 5.0701778 2.0072727 NA NA 0.501818182 study reports mean and se exact sample size provided NA NA NA 16 2.0765728 1.0036364 NA NA 0.250909091 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Molecular Mechanisms of Tebuconazole Affecting the Social Behavior and Reproduction of Zebrafish <a0>10.3390/ijerph20053928 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10002025/#:~:text=Consequently%2C%20TEB%20might%20influence%20the,affecting%20the%20reproduction%20of%20zebrafish. Environmental Research and Public Health yan_2023 yan_2023_exp_001 yan_2023_exp2_001 yan_2023_exp_001_assay_002 yan_2023_exp2_001_assay2_002 zebrafish Danio rerio commercial supplier not_wild female tebuconazole analytical 107534-96-3 in paper triazole 0.4 mg/L 21 days DMSO solvent_used 27 celsius social interaction sociality number of contacts frequency of social behaviour count NA fig4d yan_2023_fig4d NA NA NA 16 3.0802092 1.8342320 NA NA 0.458557994 study reports mean and se exact sample size provided NA NA NA 16 2.0765728 1.0036364 NA NA 0.250909091 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Molecular Mechanisms of Tebuconazole Affecting the Social Behavior and Reproduction of Zebrafish <a0>10.3390/ijerph20053928 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10002025/#:~:text=Consequently%2C%20TEB%20might%20influence%20the,affecting%20the%20reproduction%20of%20zebrafish. Environmental Research and Public Health yan_2023 yan_2023_exp_002 yan_2023_exp2_002 yan_2023_exp_002_assay_001 yan_2023_exp2_002_assay2_001 zebrafish Danio rerio commercial supplier not_wild female tebuconazole analytical 107534-96-3 in paper triazole 0.8 mg/L 21 days none none 27 celsius social interaction sociality number of contacts frequency of social behaviour count NA fig4d yan_2023_fig4d NA NA NA 16 5.0701778 2.0072727 NA NA 0.501818182 study reports mean and se exact sample size provided NA NA NA 16 2.5783910 1.4189342 NA NA 0.354733542 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Molecular Mechanisms of Tebuconazole Affecting the Social Behavior and Reproduction of Zebrafish <a0>10.3390/ijerph20053928 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10002025/#:~:text=Consequently%2C%20TEB%20might%20influence%20the,affecting%20the%20reproduction%20of%20zebrafish. Environmental Research and Public Health yan_2023 yan_2023_exp_002 yan_2023_exp2_002 yan_2023_exp_002_assay_002 yan_2023_exp2_002_assay2_002 zebrafish Danio rerio commercial supplier not_wild female tebuconazole analytical 107534-96-3 in paper triazole 0.8 mg/L 21 days DMSO solvent_used 27 celsius social interaction sociality number of contacts frequency of social behaviour count NA fig4d yan_2023_fig4d NA NA NA 16 3.0802092 1.8342320 NA NA 0.458557994 study reports mean and se exact sample size provided NA NA NA 16 2.5783910 1.4189342 NA NA 0.354733542 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Molecular Mechanisms of Tebuconazole Affecting the Social Behavior and Reproduction of Zebrafish <a0>10.3390/ijerph20053928 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10002025/#:~:text=Consequently%2C%20TEB%20might%20influence%20the,affecting%20the%20reproduction%20of%20zebrafish. Environmental Research and Public Health yan_2023 yan_2023_exp_003 yan_2023_exp2_003 yan_2023_exp_003_assay_001 yan_2023_exp2_003_assay2_001 zebrafish Danio rerio commercial supplier not_wild female tebuconazole analytical 107534-96-3 in paper triazole 1.6 mg/L 21 days none none 27 celsius social interaction sociality number of contacts frequency of social behaviour count NA fig4d yan_2023_fig4d NA NA NA 16 5.0701778 2.0072727 NA NA 0.501818182 study reports mean and se exact sample size provided NA NA NA 16 2.3400961 1.1680251 NA NA 0.29200627 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Molecular Mechanisms of Tebuconazole Affecting the Social Behavior and Reproduction of Zebrafish <a0>10.3390/ijerph20053928 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10002025/#:~:text=Consequently%2C%20TEB%20might%20influence%20the,affecting%20the%20reproduction%20of%20zebrafish. Environmental Research and Public Health yan_2023 yan_2023_exp_003 yan_2023_exp2_003 yan_2023_exp_003_assay_002 yan_2023_exp2_003_assay2_002 zebrafish Danio rerio commercial supplier not_wild female tebuconazole analytical 107534-96-3 in paper triazole 1.6 mg/L 21 days DMSO solvent_used 27 celsius social interaction sociality number of contacts frequency of social behaviour count NA fig4d yan_2023_fig4d NA NA NA 16 3.0802092 1.8342320 NA NA 0.458557994 study reports mean and se exact sample size provided NA NA NA 16 2.3400961 1.1680251 NA NA 0.29200627 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Molecular Mechanisms of Tebuconazole Affecting the Social Behavior and Reproduction of Zebrafish <a0>10.3390/ijerph20053928 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10002025/#:~:text=Consequently%2C%20TEB%20might%20influence%20the,affecting%20the%20reproduction%20of%20zebrafish. Environmental Research and Public Health yan_2023 yan_2023_exp_004 yan_2023_exp2_004 yan_2023_exp_004_assay_001 yan_2023_exp2_004_assay2_001 zebrafish Danio rerio commercial supplier not_wild male tebuconazole analytical 107534-96-3 in paper triazole 0.4 mg/L 21 days none none 27 celsius social interaction sociality number of contacts frequency of social behaviour count NA fig4d yan_2023_fig4d NA NA NA 16 3.5947905 0.9220063 NA NA 0.230501567 study reports mean and se exact sample size provided NA NA NA 16 3.0748219 2.0798746 NA NA 0.519968652 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Molecular Mechanisms of Tebuconazole Affecting the Social Behavior and Reproduction of Zebrafish <a0>10.3390/ijerph20053928 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10002025/#:~:text=Consequently%2C%20TEB%20might%20influence%20the,affecting%20the%20reproduction%20of%20zebrafish. Environmental Research and Public Health yan_2023 yan_2023_exp_004 yan_2023_exp2_004 yan_2023_exp_004_assay_002 yan_2023_exp2_004_assay2_002 zebrafish Danio rerio commercial supplier not_wild male tebuconazole analytical 107534-96-3 in paper triazole 0.4 mg/L 21 days DMSO solvent_used 27 celsius social interaction sociality number of contacts frequency of social behaviour count NA fig4d yan_2023_fig4d NA NA NA 16 2.5602137 1.2436364 NA NA 0.310909091 study reports mean and se exact sample size provided NA NA NA 16 3.0748219 2.0798746 NA NA 0.519968652 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Molecular Mechanisms of Tebuconazole Affecting the Social Behavior and Reproduction of Zebrafish <a0>10.3390/ijerph20053928 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10002025/#:~:text=Consequently%2C%20TEB%20might%20influence%20the,affecting%20the%20reproduction%20of%20zebrafish. Environmental Research and Public Health yan_2023 yan_2023_exp_005 yan_2023_exp2_005 yan_2023_exp_005_assay_001 yan_2023_exp2_005_assay2_001 zebrafish Danio rerio commercial supplier not_wild male tebuconazole analytical 107534-96-3 in paper triazole 0.8 mg/L 21 days none none 27 celsius social interaction sociality number of contacts frequency of social behaviour count NA fig4d yan_2023_fig4d NA NA NA 16 3.5947905 0.9220063 NA NA 0.230501567 study reports mean and se exact sample size provided NA NA NA 16 1.7293360 0.7933542 NA NA 0.198338558 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Molecular Mechanisms of Tebuconazole Affecting the Social Behavior and Reproduction of Zebrafish <a0>10.3390/ijerph20053928 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10002025/#:~:text=Consequently%2C%20TEB%20might%20influence%20the,affecting%20the%20reproduction%20of%20zebrafish. Environmental Research and Public Health yan_2023 yan_2023_exp_005 yan_2023_exp2_005 yan_2023_exp_005_assay_002 yan_2023_exp2_005_assay2_002 zebrafish Danio rerio commercial supplier not_wild male tebuconazole analytical 107534-96-3 in paper triazole 0.8 mg/L 21 days DMSO solvent_used 27 celsius social interaction sociality number of contacts frequency of social behaviour count NA fig4d yan_2023_fig4d NA NA NA 16 2.5602137 1.2436364 NA NA 0.310909091 study reports mean and se exact sample size provided NA NA NA 16 1.7293360 0.7933542 NA NA 0.198338558 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Molecular Mechanisms of Tebuconazole Affecting the Social Behavior and Reproduction of Zebrafish <a0>10.3390/ijerph20053928 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10002025/#:~:text=Consequently%2C%20TEB%20might%20influence%20the,affecting%20the%20reproduction%20of%20zebrafish. Environmental Research and Public Health yan_2023 yan_2023_exp_006 yan_2023_exp2_006 yan_2023_exp_006_assay_001 yan_2023_exp2_006_assay2_001 zebrafish Danio rerio commercial supplier not_wild male tebuconazole analytical 107534-96-3 in paper triazole 1.6 mg/L 21 days none none 27 celsius social interaction sociality number of contacts frequency of social behaviour count NA fig4d yan_2023_fig4d NA NA NA 16 3.5947905 0.9220063 NA NA 0.230501567 study reports mean and se exact sample size provided NA NA NA 16 2.3779567 1.2007524 NA NA 0.300188088 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Molecular Mechanisms of Tebuconazole Affecting the Social Behavior and Reproduction of Zebrafish <a0>10.3390/ijerph20053928 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10002025/#:~:text=Consequently%2C%20TEB%20might%20influence%20the,affecting%20the%20reproduction%20of%20zebrafish. Environmental Research and Public Health yan_2023 yan_2023_exp_006 yan_2023_exp2_006 yan_2023_exp_006_assay_002 yan_2023_exp2_006_assay2_002 zebrafish Danio rerio commercial supplier not_wild male tebuconazole analytical 107534-96-3 in paper triazole 1.6 mg/L 21 days DMSO solvent_used 27 celsius social interaction sociality number of contacts frequency of social behaviour count NA fig4d yan_2023_fig4d NA NA NA 16 2.5602137 1.2436364 NA NA 0.310909091 study reports mean and se exact sample size provided NA NA NA 16 2.3779567 1.2007524 NA NA 0.300188088 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Molecular Mechanisms of Tebuconazole Affecting the Social Behavior and Reproduction of Zebrafish <a0>10.3390/ijerph20053928 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10002025/#:~:text=Consequently%2C%20TEB%20might%20influence%20the,affecting%20the%20reproduction%20of%20zebrafish. Environmental Research and Public Health yan_2023 yan_2023_exp_007 yan_2023_exp2_007 yan_2023_exp_007_assay_001 yan_2023_exp2_007_assay2_001 zebrafish Danio rerio commercial supplier not_wild mixed tebuconazole analytical 107534-96-3 in paper triazole 0.4 mg/L 21 days none none 27 celsius social interaction sociality number of contacts frequency of social behaviour count NA fig4d yan_2023_fig4d NA NA NA 16 2.3643288 0.9630094 NA NA 0.240752351 study reports mean and se exact sample size provided NA NA NA 16 1.2884667 0.4815047 NA NA 0.120376176 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Molecular Mechanisms of Tebuconazole Affecting the Social Behavior and Reproduction of Zebrafish <a0>10.3390/ijerph20053928 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10002025/#:~:text=Consequently%2C%20TEB%20might%20influence%20the,affecting%20the%20reproduction%20of%20zebrafish. Environmental Research and Public Health yan_2023 yan_2023_exp_007 yan_2023_exp2_007 yan_2023_exp_007_assay_002 yan_2023_exp2_007_assay2_002 zebrafish Danio rerio commercial supplier not_wild mixed tebuconazole analytical 107534-96-3 in paper triazole 0.4 mg/L 21 days DMSO solvent_used 27 celsius social interaction sociality number of contacts frequency of social behaviour count NA fig4d yan_2023_fig4d NA NA NA 16 2.0821971 0.4664577 NA NA 0.11661442 study reports mean and se exact sample size provided NA NA NA 16 1.2884667 0.4815047 NA NA 0.120376176 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Molecular Mechanisms of Tebuconazole Affecting the Social Behavior and Reproduction of Zebrafish <a0>10.3390/ijerph20053928 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10002025/#:~:text=Consequently%2C%20TEB%20might%20influence%20the,affecting%20the%20reproduction%20of%20zebrafish. Environmental Research and Public Health yan_2023 yan_2023_exp_008 yan_2023_exp2_008 yan_2023_exp_008_assay_001 yan_2023_exp2_008_assay2_001 zebrafish Danio rerio commercial supplier not_wild mixed tebuconazole analytical 107534-96-3 in paper triazole 0.8 mg/L 21 days none none 27 celsius social interaction sociality number of contacts frequency of social behaviour count NA fig4d yan_2023_fig4d NA NA NA 16 2.3643288 0.9630094 NA NA 0.240752351 study reports mean and se exact sample size provided NA NA NA 16 2.0972441 0.4062696 NA NA 0.101567398 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Molecular Mechanisms of Tebuconazole Affecting the Social Behavior and Reproduction of Zebrafish <a0>10.3390/ijerph20053928 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10002025/#:~:text=Consequently%2C%20TEB%20might%20influence%20the,affecting%20the%20reproduction%20of%20zebrafish. Environmental Research and Public Health yan_2023 yan_2023_exp_008 yan_2023_exp2_008 yan_2023_exp_008_assay_002 yan_2023_exp2_008_assay2_002 zebrafish Danio rerio commercial supplier not_wild mixed tebuconazole analytical 107534-96-3 in paper triazole 0.8 mg/L 21 days DMSO solvent_used 27 celsius social interaction sociality number of contacts frequency of social behaviour count NA fig4d yan_2023_fig4d NA NA NA 16 2.0821971 0.4664577 NA NA 0.11661442 study reports mean and se exact sample size provided NA NA NA 16 2.0972441 0.4062696 NA NA 0.101567398 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Molecular Mechanisms of Tebuconazole Affecting the Social Behavior and Reproduction of Zebrafish <a0>10.3390/ijerph20053928 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10002025/#:~:text=Consequently%2C%20TEB%20might%20influence%20the,affecting%20the%20reproduction%20of%20zebrafish. Environmental Research and Public Health yan_2023 yan_2023_exp_009 yan_2023_exp2_009 yan_2023_exp_009_assay_001 yan_2023_exp2_009_assay2_001 zebrafish Danio rerio commercial supplier not_wild mixed tebuconazole analytical 107534-96-3 in paper triazole 1.6 mg/L 21 days none none 27 celsius social interaction sociality number of contacts frequency of social behaviour count NA fig4d yan_2023_fig4d NA NA NA 16 2.3643288 0.9630094 NA NA 0.240752351 study reports mean and se exact sample size provided NA NA NA 16 1.4803162 0.3310345 NA NA 0.082758621 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Molecular Mechanisms of Tebuconazole Affecting the Social Behavior and Reproduction of Zebrafish <a0>10.3390/ijerph20053928 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10002025/#:~:text=Consequently%2C%20TEB%20might%20influence%20the,affecting%20the%20reproduction%20of%20zebrafish. Environmental Research and Public Health yan_2023 yan_2023_exp_009 yan_2023_exp2_009 yan_2023_exp_009_assay_002 yan_2023_exp2_009_assay2_002 zebrafish Danio rerio commercial supplier not_wild mixed tebuconazole analytical 107534-96-3 in paper triazole 1.6 mg/L 21 days DMSO solvent_used 27 celsius social interaction sociality number of contacts frequency of social behaviour count NA fig4d yan_2023_fig4d NA NA NA 16 2.0821971 0.4664577 NA NA 0.11661442 study reports mean and se exact sample size provided NA NA NA 16 1.4803162 0.3310345 NA NA 0.082758621 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Molecular Mechanisms of Tebuconazole Affecting the Social Behavior and Reproduction of Zebrafish <a0>10.3390/ijerph20053928 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10002025/#:~:text=Consequently%2C%20TEB%20might%20influence%20the,affecting%20the%20reproduction%20of%20zebrafish. Environmental Research and Public Health yan_2023 yan_2023_exp_001 yan_2023_exp2_001 yan_2023_exp_001_assay_003 yan_2023_exp2_001_assay2_003 zebrafish Danio rerio commercial supplier not_wild female tebuconazole analytical 107534-96-3 in paper triazole 0.4 mg/L 21 days none none 27 celsius social interaction sociality contact time duration of social behaviour NA NA fig4e yan_2023_fig4e NA NA NA 16 0.6531373 0.2295338 NA NA 0.057383459 study reports mean and se exact sample size provided NA NA NA 16 0.2875834 0.0977644 NA NA 0.024441103 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Molecular Mechanisms of Tebuconazole Affecting the Social Behavior and Reproduction of Zebrafish <a0>10.3390/ijerph20053928 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10002025/#:~:text=Consequently%2C%20TEB%20might%20influence%20the,affecting%20the%20reproduction%20of%20zebrafish. Environmental Research and Public Health yan_2023 yan_2023_exp_001 yan_2023_exp2_001 yan_2023_exp_001_assay_004 yan_2023_exp2_001_assay2_004 zebrafish Danio rerio commercial supplier not_wild female tebuconazole analytical 107534-96-3 in paper triazole 0.4 mg/L 21 days DMSO solvent_used 27 celsius social interaction sociality contact time duration of social behaviour NA NA fig4e yan_2023_fig4e NA NA NA 16 0.3439042 0.6630977 NA NA 0.165774436 study reports mean and se exact sample size provided NA NA NA 16 0.2875834 0.0977644 NA NA 0.024441103 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Molecular Mechanisms of Tebuconazole Affecting the Social Behavior and Reproduction of Zebrafish <a0>10.3390/ijerph20053928 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10002025/#:~:text=Consequently%2C%20TEB%20might%20influence%20the,affecting%20the%20reproduction%20of%20zebrafish. Environmental Research and Public Health yan_2023 yan_2023_exp_002 yan_2023_exp2_002 yan_2023_exp_002_assay_003 yan_2023_exp2_002_assay2_003 zebrafish Danio rerio commercial supplier not_wild female tebuconazole analytical 107534-96-3 in paper triazole 0.8 mg/L 21 days none none 27 celsius social interaction sociality contact time duration of social behaviour NA NA fig4e yan_2023_fig4e NA NA NA 16 0.6531373 0.2295338 NA NA 0.057383459 study reports mean and se exact sample size provided NA NA NA 16 0.3747213 0.3145464 NA NA 0.078636591 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Molecular Mechanisms of Tebuconazole Affecting the Social Behavior and Reproduction of Zebrafish <a0>10.3390/ijerph20053928 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10002025/#:~:text=Consequently%2C%20TEB%20might%20influence%20the,affecting%20the%20reproduction%20of%20zebrafish. Environmental Research and Public Health yan_2023 yan_2023_exp_002 yan_2023_exp2_002 yan_2023_exp_002_assay_004 yan_2023_exp2_002_assay2_004 zebrafish Danio rerio commercial supplier not_wild female tebuconazole analytical 107534-96-3 in paper triazole 0.8 mg/L 21 days DMSO solvent_used 27 celsius social interaction sociality contact time duration of social behaviour NA NA fig4e yan_2023_fig4e NA NA NA 16 0.3439042 0.6630977 NA NA 0.165774436 study reports mean and se exact sample size provided NA NA NA 16 0.3747213 0.3145464 NA NA 0.078636591 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Molecular Mechanisms of Tebuconazole Affecting the Social Behavior and Reproduction of Zebrafish <a0>10.3390/ijerph20053928 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10002025/#:~:text=Consequently%2C%20TEB%20might%20influence%20the,affecting%20the%20reproduction%20of%20zebrafish. Environmental Research and Public Health yan_2023 yan_2023_exp_003 yan_2023_exp2_003 yan_2023_exp_003_assay_003 yan_2023_exp2_003_assay2_003 zebrafish Danio rerio commercial supplier not_wild female tebuconazole analytical 107534-96-3 in paper triazole 1.6 mg/L 21 days none none 27 celsius social interaction sociality contact time duration of social behaviour NA NA fig4e yan_2023_fig4e NA NA NA 16 0.6531373 0.2295338 NA NA 0.057383459 study reports mean and se exact sample size provided NA NA NA 16 0.4182902 0.6035890 NA NA 0.150897243 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Molecular Mechanisms of Tebuconazole Affecting the Social Behavior and Reproduction of Zebrafish <a0>10.3390/ijerph20053928 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10002025/#:~:text=Consequently%2C%20TEB%20might%20influence%20the,affecting%20the%20reproduction%20of%20zebrafish. Environmental Research and Public Health yan_2023 yan_2023_exp_003 yan_2023_exp2_003 yan_2023_exp_003_assay_004 yan_2023_exp2_003_assay2_004 zebrafish Danio rerio commercial supplier not_wild female tebuconazole analytical 107534-96-3 in paper triazole 1.6 mg/L 21 days DMSO solvent_used 27 celsius social interaction sociality contact time duration of social behaviour NA NA fig4e yan_2023_fig4e NA NA NA 16 0.3439042 0.6630977 NA NA 0.165774436 study reports mean and se exact sample size provided NA NA NA 16 0.4182902 0.6035890 NA NA 0.150897243 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Molecular Mechanisms of Tebuconazole Affecting the Social Behavior and Reproduction of Zebrafish <a0>10.3390/ijerph20053928 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10002025/#:~:text=Consequently%2C%20TEB%20might%20influence%20the,affecting%20the%20reproduction%20of%20zebrafish. Environmental Research and Public Health yan_2023 yan_2023_exp_004 yan_2023_exp2_004 yan_2023_exp_004_assay_003 yan_2023_exp2_004_assay2_003 zebrafish Danio rerio commercial supplier not_wild male tebuconazole analytical 107534-96-3 in paper triazole 0.4 mg/L 21 days none none 27 celsius social interaction sociality contact time duration of social behaviour NA NA fig4e yan_2023_fig4e NA NA NA 16 0.3943922 0.1235288 NA NA 0.030882206 study reports mean and se exact sample size provided NA NA NA 16 0.3462970 0.2146566 NA NA 0.05366416 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Molecular Mechanisms of Tebuconazole Affecting the Social Behavior and Reproduction of Zebrafish <a0>10.3390/ijerph20053928 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10002025/#:~:text=Consequently%2C%20TEB%20might%20influence%20the,affecting%20the%20reproduction%20of%20zebrafish. Environmental Research and Public Health yan_2023 yan_2023_exp_004 yan_2023_exp2_004 yan_2023_exp_004_assay_004 yan_2023_exp2_004_assay2_004 zebrafish Danio rerio commercial supplier not_wild male tebuconazole analytical 107534-96-3 in paper triazole 0.4 mg/L 21 days DMSO solvent_used 27 celsius social interaction sociality contact time duration of social behaviour NA NA fig4e yan_2023_fig4e NA NA NA 16 0.3204774 0.1680802 NA NA 0.04202005 study reports mean and se exact sample size provided NA NA NA 16 0.3462970 0.2146566 NA NA 0.05366416 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Molecular Mechanisms of Tebuconazole Affecting the Social Behavior and Reproduction of Zebrafish <a0>10.3390/ijerph20053928 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10002025/#:~:text=Consequently%2C%20TEB%20might%20influence%20the,affecting%20the%20reproduction%20of%20zebrafish. Environmental Research and Public Health yan_2023 yan_2023_exp_005 yan_2023_exp2_005 yan_2023_exp_005_assay_003 yan_2023_exp2_005_assay2_003 zebrafish Danio rerio commercial supplier not_wild male tebuconazole analytical 107534-96-3 in paper triazole 0.8 mg/L 21 days none none 27 celsius social interaction sociality contact time duration of social behaviour NA NA fig4e yan_2023_fig4e NA NA NA 16 0.3943922 0.1235288 NA NA 0.030882206 study reports mean and se exact sample size provided NA NA NA 16 0.2850388 0.1721303 NA NA 0.043032581 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Molecular Mechanisms of Tebuconazole Affecting the Social Behavior and Reproduction of Zebrafish <a0>10.3390/ijerph20053928 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10002025/#:~:text=Consequently%2C%20TEB%20might%20influence%20the,affecting%20the%20reproduction%20of%20zebrafish. Environmental Research and Public Health yan_2023 yan_2023_exp_005 yan_2023_exp2_005 yan_2023_exp_005_assay_004 yan_2023_exp2_005_assay2_004 zebrafish Danio rerio commercial supplier not_wild male tebuconazole analytical 107534-96-3 in paper triazole 0.8 mg/L 21 days DMSO solvent_used 27 celsius social interaction sociality contact time duration of social behaviour NA NA fig4e yan_2023_fig4e NA NA NA 16 0.3204774 0.1680802 NA NA 0.04202005 study reports mean and se exact sample size provided NA NA NA 16 0.2850388 0.1721303 NA NA 0.043032581 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Molecular Mechanisms of Tebuconazole Affecting the Social Behavior and Reproduction of Zebrafish <a0>10.3390/ijerph20053928 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10002025/#:~:text=Consequently%2C%20TEB%20might%20influence%20the,affecting%20the%20reproduction%20of%20zebrafish. Environmental Research and Public Health yan_2023 yan_2023_exp_006 yan_2023_exp2_006 yan_2023_exp_006_assay_003 yan_2023_exp2_006_assay2_003 zebrafish Danio rerio commercial supplier not_wild male tebuconazole analytical 107534-96-3 in paper triazole 1.6 mg/L 21 days none none 27 celsius social interaction sociality contact time duration of social behaviour NA NA fig4e yan_2023_fig4e NA NA NA 16 0.3943922 0.1235288 NA NA 0.030882206 study reports mean and se exact sample size provided NA NA NA 16 0.3194649 0.2592080 NA NA 0.064802005 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Molecular Mechanisms of Tebuconazole Affecting the Social Behavior and Reproduction of Zebrafish <a0>10.3390/ijerph20053928 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10002025/#:~:text=Consequently%2C%20TEB%20might%20influence%20the,affecting%20the%20reproduction%20of%20zebrafish. Environmental Research and Public Health yan_2023 yan_2023_exp_006 yan_2023_exp2_006 yan_2023_exp_006_assay_004 yan_2023_exp2_006_assay2_004 zebrafish Danio rerio commercial supplier not_wild male tebuconazole analytical 107534-96-3 in paper triazole 1.6 mg/L 21 days DMSO solvent_used 27 celsius social interaction sociality contact time duration of social behaviour NA NA fig4e yan_2023_fig4e NA NA NA 16 0.3204774 0.1680802 NA NA 0.04202005 study reports mean and se exact sample size provided NA NA NA 16 0.3194649 0.2592080 NA NA 0.064802005 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Molecular Mechanisms of Tebuconazole Affecting the Social Behavior and Reproduction of Zebrafish <a0>10.3390/ijerph20053928 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10002025/#:~:text=Consequently%2C%20TEB%20might%20influence%20the,affecting%20the%20reproduction%20of%20zebrafish. Environmental Research and Public Health yan_2023 yan_2023_exp_007 yan_2023_exp2_007 yan_2023_exp_007_assay_003 yan_2023_exp2_007_assay2_003 zebrafish Danio rerio commercial supplier not_wild mixed tebuconazole analytical 107534-96-3 in paper triazole 0.4 mg/L 21 days none none 27 celsius social interaction sociality contact time duration of social behaviour NA NA fig4e yan_2023_fig4e NA NA NA 16 0.4124113 0.1954887 NA NA 0.04887218 study reports mean and se exact sample size provided NA NA NA 16 0.2808323 0.0481203 NA NA 0.012030075 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Molecular Mechanisms of Tebuconazole Affecting the Social Behavior and Reproduction of Zebrafish <a0>10.3390/ijerph20053928 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10002025/#:~:text=Consequently%2C%20TEB%20might%20influence%20the,affecting%20the%20reproduction%20of%20zebrafish. Environmental Research and Public Health yan_2023 yan_2023_exp_007 yan_2023_exp2_007 yan_2023_exp_007_assay_004 yan_2023_exp2_007_assay2_004 zebrafish Danio rerio commercial supplier not_wild mixed tebuconazole analytical 107534-96-3 in paper triazole 0.4 mg/L 21 days DMSO solvent_used 27 celsius social interaction sociality contact time duration of social behaviour NA NA fig4e yan_2023_fig4e NA NA NA 16 0.3214338 0.0691729 NA NA 0.017293233 study reports mean and se exact sample size provided NA NA NA 16 0.2808323 0.0481203 NA NA 0.012030075 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Molecular Mechanisms of Tebuconazole Affecting the Social Behavior and Reproduction of Zebrafish <a0>10.3390/ijerph20053928 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10002025/#:~:text=Consequently%2C%20TEB%20might%20influence%20the,affecting%20the%20reproduction%20of%20zebrafish. Environmental Research and Public Health yan_2023 yan_2023_exp_008 yan_2023_exp2_008 yan_2023_exp_008_assay_003 yan_2023_exp2_008_assay2_003 zebrafish Danio rerio commercial supplier not_wild mixed tebuconazole analytical 107534-96-3 in paper triazole 0.8 mg/L 21 days none none 27 celsius social interaction sociality contact time duration of social behaviour NA NA fig4e yan_2023_fig4e NA NA NA 16 0.4124113 0.1954887 NA NA 0.04887218 study reports mean and se exact sample size provided NA NA NA 16 0.2176744 0.0812030 NA NA 0.020300752 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Molecular Mechanisms of Tebuconazole Affecting the Social Behavior and Reproduction of Zebrafish <a0>10.3390/ijerph20053928 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10002025/#:~:text=Consequently%2C%20TEB%20might%20influence%20the,affecting%20the%20reproduction%20of%20zebrafish. Environmental Research and Public Health yan_2023 yan_2023_exp_008 yan_2023_exp2_008 yan_2023_exp_008_assay_004 yan_2023_exp2_008_assay2_004 zebrafish Danio rerio commercial supplier not_wild mixed tebuconazole analytical 107534-96-3 in paper triazole 0.8 mg/L 21 days DMSO solvent_used 27 celsius social interaction sociality contact time duration of social behaviour NA NA fig4e yan_2023_fig4e NA NA NA 16 0.3214338 0.0691729 NA NA 0.017293233 study reports mean and se exact sample size provided NA NA NA 16 0.2176744 0.0812030 NA NA 0.020300752 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Molecular Mechanisms of Tebuconazole Affecting the Social Behavior and Reproduction of Zebrafish <a0>10.3390/ijerph20053928 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10002025/#:~:text=Consequently%2C%20TEB%20might%20influence%20the,affecting%20the%20reproduction%20of%20zebrafish. Environmental Research and Public Health yan_2023 yan_2023_exp_009 yan_2023_exp2_009 yan_2023_exp_009_assay_003 yan_2023_exp2_009_assay2_003 zebrafish Danio rerio commercial supplier not_wild mixed tebuconazole analytical 107534-96-3 in paper triazole 1.6 mg/L 21 days none none 27 celsius social interaction sociality contact time duration of social behaviour NA NA fig4e yan_2023_fig4e NA NA NA 16 0.4124113 0.1954887 NA NA 0.04887218 study reports mean and se exact sample size provided NA NA NA 16 0.2748173 0.0751880 NA NA 0.018796992 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Molecular Mechanisms of Tebuconazole Affecting the Social Behavior and Reproduction of Zebrafish <a0>10.3390/ijerph20053928 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10002025/#:~:text=Consequently%2C%20TEB%20might%20influence%20the,affecting%20the%20reproduction%20of%20zebrafish. Environmental Research and Public Health yan_2023 yan_2023_exp_009 yan_2023_exp2_009 yan_2023_exp_009_assay_004 yan_2023_exp2_009_assay2_004 zebrafish Danio rerio commercial supplier not_wild mixed tebuconazole analytical 107534-96-3 in paper triazole 1.6 mg/L 21 days DMSO solvent_used 27 celsius social interaction sociality contact time duration of social behaviour NA NA fig4e yan_2023_fig4e NA NA NA 16 0.3214338 0.0691729 NA NA 0.017293233 study reports mean and se exact sample size provided NA NA NA 16 0.2748173 0.0751880 NA NA 0.018796992 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Effect of thiamethoxam on the behavioral profile alteration and toxicity of adult zebrafish at environmentally relevant concentrations 10.1016/j.scitotenv.2022.159883 https://www.sciencedirect.com/science/article/pii/S0048969722069832#:~:text=This%20result%20showed%20that%20THM,restlessness%20for%20adult%20male%20zebrafish. Science of The Total Environment yang_2023 yang_2023_exp_001 yang_2023_exp2_001 yang_2023_exp_001_assay_001 yang_2023_exp2_001_assay_001 zebrafish Danio rerio commercial supplier not_wild male thiamethoxam commercial 153719-23-4 https://commonchemistry.cas.org/detail?cas_rn=153719-23-4&search=thiamethoxam neonicotinoid 0.1 ug/L 45 days none none not reported not reported shoaling collective behaviour shoaling average speed group movement NA NA tables4 yang_2023_tables4 9.600000 6.000000 24 24 5.9100000 0.9800000 0.4900000 0.9800000 0.200041662 study reports mean and sd exact sample size provided 9.600000 6.000000 24 24 5.8000000 0.9800000 0.4900000 0.9800000 0.200041662 study reports mean and sd exact sample size provided NA NA NA NA
NA NA NA KM Effect of thiamethoxam on the behavioral profile alteration and toxicity of adult zebrafish at environmentally relevant concentrations 10.1016/j.scitotenv.2022.159883 https://www.sciencedirect.com/science/article/pii/S0048969722069832#:~:text=This%20result%20showed%20that%20THM,restlessness%20for%20adult%20male%20zebrafish. Science of The Total Environment yang_2023 yang_2023_exp_002 yang_2023_exp2_002 yang_2023_exp_002_assay_001 yang_2023_exp2_002_assay_001 zebrafish Danio rerio commercial supplier not_wild male thiamethoxam commercial 153719-23-4 https://commonchemistry.cas.org/detail?cas_rn=153719-23-4&search=thiamethoxam neonicotinoid 10 ug/L 45 days none none not reported not reported shoaling collective behaviour shoaling average speed group movement NA NA tables4 yang_2023_tables4 9.600000 6.000000 24 24 5.9100000 0.9800000 0.4900000 0.9800000 0.200041662 study reports mean and sd exact sample size provided 9.600000 6.000000 24 24 6.2400000 0.7700000 0.3850000 0.7700000 0.157175592 study reports mean and sd exact sample size provided NA NA NA NA
NA NA NA KM Effect of thiamethoxam on the behavioral profile alteration and toxicity of adult zebrafish at environmentally relevant concentrations 10.1016/j.scitotenv.2022.159883 https://www.sciencedirect.com/science/article/pii/S0048969722069832#:~:text=This%20result%20showed%20that%20THM,restlessness%20for%20adult%20male%20zebrafish. Science of The Total Environment yang_2023 yang_2023_exp_003 yang_2023_exp2_003 yang_2023_exp_003_assay_001 yang_2023_exp2_003_assay_001 zebrafish Danio rerio commercial supplier not_wild male thiamethoxam commercial 153719-23-4 https://commonchemistry.cas.org/detail?cas_rn=153719-23-4&search=thiamethoxam neonicotinoid 1000 ug/L 45 days none none not reported not reported shoaling collective behaviour shoaling average speed group movement NA NA tables4 yang_2023_tables4 9.600000 6.000000 24 24 5.9100000 0.9800000 0.4900000 0.9800000 0.200041662 study reports mean and sd exact sample size provided 9.600000 6.000000 24 24 6.7500000 0.9000000 0.4500000 0.9000000 0.183711731 study reports mean and sd exact sample size provided NA NA NA NA
NA NA NA KM Effect of thiamethoxam on the behavioral profile alteration and toxicity of adult zebrafish at environmentally relevant concentrations 10.1016/j.scitotenv.2022.159883 https://www.sciencedirect.com/science/article/pii/S0048969722069832#:~:text=This%20result%20showed%20that%20THM,restlessness%20for%20adult%20male%20zebrafish. Science of The Total Environment yang_2023 yang_2023_exp_001 yang_2023_exp2_001 yang_2023_exp_001_assay_002 yang_2023_exp2_001_assay_002 zebrafish Danio rerio commercial supplier not_wild male thiamethoxam commercial 153719-23-4 https://commonchemistry.cas.org/detail?cas_rn=153719-23-4&search=thiamethoxam neonicotinoid 0.1 ug/L 45 days none none not reported not reported shoaling collective behaviour average fish distance group arrangment NA change tables4 yang_2023_tables4 9.600000 6.000000 24 24 6.3100000 0.8100000 0.4050000 0.8100000 0.165340558 study reports mean and sd exact sample size provided 9.600000 6.000000 24 24 5.6700000 0.5800000 0.2900000 0.5800000 0.118392004 study reports mean and sd exact sample size provided NA NA NA NA
NA NA NA KM Effect of thiamethoxam on the behavioral profile alteration and toxicity of adult zebrafish at environmentally relevant concentrations 10.1016/j.scitotenv.2022.159883 https://www.sciencedirect.com/science/article/pii/S0048969722069832#:~:text=This%20result%20showed%20that%20THM,restlessness%20for%20adult%20male%20zebrafish. Science of The Total Environment yang_2023 yang_2023_exp_002 yang_2023_exp2_002 yang_2023_exp_002_assay_002 yang_2023_exp2_002_assay_002 zebrafish Danio rerio commercial supplier not_wild male thiamethoxam commercial 153719-23-4 https://commonchemistry.cas.org/detail?cas_rn=153719-23-4&search=thiamethoxam neonicotinoid 10 ug/L 45 days none none not reported not reported shoaling collective behaviour average fish distance group arrangment NA change tables4 yang_2023_tables4 9.600000 6.000000 24 24 6.3100000 0.8100000 0.4050000 0.8100000 0.165340558 study reports mean and sd exact sample size provided 9.600000 6.000000 24 24 5.8700000 0.6200000 0.3100000 0.6200000 0.12655697 study reports mean and sd exact sample size provided NA NA NA NA
NA NA NA KM Effect of thiamethoxam on the behavioral profile alteration and toxicity of adult zebrafish at environmentally relevant concentrations 10.1016/j.scitotenv.2022.159883 https://www.sciencedirect.com/science/article/pii/S0048969722069832#:~:text=This%20result%20showed%20that%20THM,restlessness%20for%20adult%20male%20zebrafish. Science of The Total Environment yang_2023 yang_2023_exp_003 yang_2023_exp2_003 yang_2023_exp_003_assay_002 yang_2023_exp2_003_assay_002 zebrafish Danio rerio commercial supplier not_wild male thiamethoxam commercial 153719-23-4 https://commonchemistry.cas.org/detail?cas_rn=153719-23-4&search=thiamethoxam neonicotinoid 1000 ug/L 45 days none none not reported not reported shoaling collective behaviour average fish distance group arrangment NA change tables4 yang_2023_tables4 9.600000 6.000000 24 24 6.3100000 0.8100000 0.4050000 0.8100000 0.165340558 study reports mean and sd exact sample size provided 9.600000 6.000000 24 24 4.8400000 1.0400000 0.5200000 1.0400000 0.212289111 study reports mean and sd exact sample size provided NA NA NA NA
NA NA NA KM Effect of thiamethoxam on the behavioral profile alteration and toxicity of adult zebrafish at environmentally relevant concentrations 10.1016/j.scitotenv.2022.159883 https://www.sciencedirect.com/science/article/pii/S0048969722069832#:~:text=This%20result%20showed%20that%20THM,restlessness%20for%20adult%20male%20zebrafish. Science of The Total Environment yang_2023 yang_2023_exp_001 yang_2023_exp2_001 yang_2023_exp_001_assay_003 yang_2023_exp2_001_assay_003 zebrafish Danio rerio commercial supplier not_wild male thiamethoxam commercial 153719-23-4 https://commonchemistry.cas.org/detail?cas_rn=153719-23-4&search=thiamethoxam neonicotinoid 0.1 ug/L 45 days none none not reported not reported shoaling collective behaviour maximum inter-fish difference group arrangment NA change tables4 yang_2023_tables4 9.600000 6.000000 24 24 18.2300000 0.7300000 0.3650000 0.7300000 0.149010626 study reports mean and sd exact sample size provided 9.600000 6.000000 24 24 17.6400000 0.7200000 0.3600000 0.7200000 0.146969385 study reports mean and sd exact sample size provided NA NA NA NA
NA NA NA KM Effect of thiamethoxam on the behavioral profile alteration and toxicity of adult zebrafish at environmentally relevant concentrations 10.1016/j.scitotenv.2022.159883 https://www.sciencedirect.com/science/article/pii/S0048969722069832#:~:text=This%20result%20showed%20that%20THM,restlessness%20for%20adult%20male%20zebrafish. Science of The Total Environment yang_2023 yang_2023_exp_002 yang_2023_exp2_002 yang_2023_exp_002_assay_003 yang_2023_exp2_002_assay_003 zebrafish Danio rerio commercial supplier not_wild male thiamethoxam commercial 153719-23-4 https://commonchemistry.cas.org/detail?cas_rn=153719-23-4&search=thiamethoxam neonicotinoid 10 ug/L 45 days none none not reported not reported shoaling collective behaviour maximum inter-fish difference group arrangment NA change tables4 yang_2023_tables4 9.600000 6.000000 24 24 18.2300000 0.7300000 0.3650000 0.7300000 0.149010626 study reports mean and sd exact sample size provided 9.600000 6.000000 24 24 18.1300000 0.6600000 0.3300000 0.6600000 0.134721936 study reports mean and sd exact sample size provided NA NA NA NA
NA NA NA KM Effect of thiamethoxam on the behavioral profile alteration and toxicity of adult zebrafish at environmentally relevant concentrations 10.1016/j.scitotenv.2022.159883 https://www.sciencedirect.com/science/article/pii/S0048969722069832#:~:text=This%20result%20showed%20that%20THM,restlessness%20for%20adult%20male%20zebrafish. Science of The Total Environment yang_2023 yang_2023_exp_003 yang_2023_exp2_003 yang_2023_exp_003_assay_003 yang_2023_exp2_003_assay_003 zebrafish Danio rerio commercial supplier not_wild male thiamethoxam commercial 153719-23-4 https://commonchemistry.cas.org/detail?cas_rn=153719-23-4&search=thiamethoxam neonicotinoid 1000 ug/L 45 days none none not reported not reported shoaling collective behaviour maximum inter-fish difference group arrangment NA change tables4 yang_2023_tables4 9.600000 6.000000 24 24 18.2300000 0.7300000 0.3650000 0.7300000 0.149010626 study reports mean and sd exact sample size provided 9.600000 6.000000 24 24 17.5100000 1.2800000 0.6400000 1.2800000 0.261278906 study reports mean and sd exact sample size provided NA NA NA NA
NA NA NA KM Effect of thiamethoxam on the behavioral profile alteration and toxicity of adult zebrafish at environmentally relevant concentrations 10.1016/j.scitotenv.2022.159883 https://www.sciencedirect.com/science/article/pii/S0048969722069832#:~:text=This%20result%20showed%20that%20THM,restlessness%20for%20adult%20male%20zebrafish. Science of The Total Environment yang_2023 yang_2023_exp_001 yang_2023_exp2_004 yang_2023_exp_001_assay_004 yang_2023_exp2_004_assay_001 zebrafish Danio rerio commercial supplier not_wild male thiamethoxam commercial 153719-23-4 https://commonchemistry.cas.org/detail?cas_rn=153719-23-4&search=thiamethoxam neonicotinoid 0.1 ug/L 45 days none none not reported not reported social preference sociality time spent in social zone time spent in social zone zone NA tables4 yang_2023_tables4 NA NA NA 18 482.7000000 92.8100000 NA NA 21.87552679 study reports mean and sd exact sample size provided NA NA NA 18 535.7000000 80.7200000 NA NA 19.02588646 study reports mean and sd exact sample size provided NA NA NA NA
NA NA NA KM Effect of thiamethoxam on the behavioral profile alteration and toxicity of adult zebrafish at environmentally relevant concentrations 10.1016/j.scitotenv.2022.159883 https://www.sciencedirect.com/science/article/pii/S0048969722069832#:~:text=This%20result%20showed%20that%20THM,restlessness%20for%20adult%20male%20zebrafish. Science of The Total Environment yang_2023 yang_2023_exp_002 yang_2023_exp2_005 yang_2023_exp_002_assay_004 yang_2023_exp2_005_assay_001 zebrafish Danio rerio commercial supplier not_wild male thiamethoxam commercial 153719-23-4 https://commonchemistry.cas.org/detail?cas_rn=153719-23-4&search=thiamethoxam neonicotinoid 10 ug/L 45 days none none not reported not reported social preference sociality time spent in social zone time spent in social zone zone NA tables4 yang_2023_tables4 NA NA NA 18 482.7000000 92.8100000 NA NA 21.87552679 study reports mean and sd exact sample size provided NA NA NA 18 675.1000000 85.5800000 NA NA 20.17139944 study reports mean and sd exact sample size provided NA NA NA NA
NA NA NA KM Effect of thiamethoxam on the behavioral profile alteration and toxicity of adult zebrafish at environmentally relevant concentrations 10.1016/j.scitotenv.2022.159883 https://www.sciencedirect.com/science/article/pii/S0048969722069832#:~:text=This%20result%20showed%20that%20THM,restlessness%20for%20adult%20male%20zebrafish. Science of The Total Environment yang_2023 yang_2023_exp_003 yang_2023_exp2_006 yang_2023_exp_003_assay_004 yang_2023_exp2_006_assay_001 zebrafish Danio rerio commercial supplier not_wild male thiamethoxam commercial 153719-23-4 https://commonchemistry.cas.org/detail?cas_rn=153719-23-4&search=thiamethoxam neonicotinoid 1000 ug/L 45 days none none not reported not reported social preference sociality time spent in social zone time spent in social zone zone NA tables4 yang_2023_tables4 NA NA NA 18 482.7000000 92.8100000 NA NA 21.87552679 study reports mean and sd exact sample size provided NA NA NA 18 495.1000000 96.2800000 NA NA 22.69341363 study reports mean and sd exact sample size provided NA NA NA NA
NA NA NA KM Effect of thiamethoxam on the behavioral profile alteration and toxicity of adult zebrafish at environmentally relevant concentrations 10.1016/j.scitotenv.2022.159883 https://www.sciencedirect.com/science/article/pii/S0048969722069832#:~:text=This%20result%20showed%20that%20THM,restlessness%20for%20adult%20male%20zebrafish. Science of The Total Environment yang_2023 yang_2023_exp_001 yang_2023_exp2_004 yang_2023_exp_001_assay_005 yang_2023_exp2_004_assay_002 zebrafish Danio rerio commercial supplier not_wild male thiamethoxam commercial 153719-23-4 https://commonchemistry.cas.org/detail?cas_rn=153719-23-4&search=thiamethoxam neonicotinoid 0.1 ug/L 45 days none none not reported not reported social recognition sociality time spent in social zone with familiar fish time spent in social zone zone NA tables4 yang_2023_tables4 NA NA NA 18 348.0000000 89.6300000 NA NA 21.1259936 study reports mean and sd exact sample size provided NA NA NA 18 312.1000000 61.5900000 NA NA 14.51690222 study reports mean and sd exact sample size provided NA NA NA NA
NA NA NA KM Effect of thiamethoxam on the behavioral profile alteration and toxicity of adult zebrafish at environmentally relevant concentrations 10.1016/j.scitotenv.2022.159883 https://www.sciencedirect.com/science/article/pii/S0048969722069832#:~:text=This%20result%20showed%20that%20THM,restlessness%20for%20adult%20male%20zebrafish. Science of The Total Environment yang_2023 yang_2023_exp_002 yang_2023_exp2_005 yang_2023_exp_002_assay_005 yang_2023_exp2_005_assay_002 zebrafish Danio rerio commercial supplier not_wild male thiamethoxam commercial 153719-23-4 https://commonchemistry.cas.org/detail?cas_rn=153719-23-4&search=thiamethoxam neonicotinoid 10 ug/L 45 days none none not reported not reported social recognition sociality time spent in social zone with familiar fish time spent in social zone zone NA tables4 yang_2023_tables4 NA NA NA 18 348.0000000 89.6300000 NA NA 21.1259936 study reports mean and sd exact sample size provided NA NA NA 18 444.6000000 111.1000000 NA NA 26.18652113 study reports mean and sd exact sample size provided NA NA NA NA
NA NA NA KM Effect of thiamethoxam on the behavioral profile alteration and toxicity of adult zebrafish at environmentally relevant concentrations 10.1016/j.scitotenv.2022.159883 https://www.sciencedirect.com/science/article/pii/S0048969722069832#:~:text=This%20result%20showed%20that%20THM,restlessness%20for%20adult%20male%20zebrafish. Science of The Total Environment yang_2023 yang_2023_exp_003 yang_2023_exp2_006 yang_2023_exp_003_assay_005 yang_2023_exp2_006_assay_002 zebrafish Danio rerio commercial supplier not_wild male thiamethoxam commercial 153719-23-4 https://commonchemistry.cas.org/detail?cas_rn=153719-23-4&search=thiamethoxam neonicotinoid 1000 ug/L 45 days none none not reported not reported social recognition sociality time spent in social zone with familiar fish time spent in social zone zone NA tables4 yang_2023_tables4 NA NA NA 18 348.0000000 89.6300000 NA NA 21.1259936 study reports mean and sd exact sample size provided NA NA NA 18 475.4000000 88.0900000 NA NA 20.76301212 study reports mean and sd exact sample size provided NA NA NA NA
NA NA NA KM Effect of thiamethoxam on the behavioral profile alteration and toxicity of adult zebrafish at environmentally relevant concentrations 10.1016/j.scitotenv.2022.159883 https://www.sciencedirect.com/science/article/pii/S0048969722069832#:~:text=This%20result%20showed%20that%20THM,restlessness%20for%20adult%20male%20zebrafish. Science of The Total Environment yang_2023 yang_2023_exp_001 yang_2023_exp2_004 yang_2023_exp_001_assay_006 yang_2023_exp2_004_assay_003 zebrafish Danio rerio commercial supplier not_wild male thiamethoxam commercial 153719-23-4 https://commonchemistry.cas.org/detail?cas_rn=153719-23-4&search=thiamethoxam neonicotinoid 0.1 ug/L 45 days none none not reported not reported social recognition sociality distance to familiar fish distance to conspecific count change tables4 yang_2023_tables4 NA NA NA 18 4.5200000 0.9100000 NA NA 0.214489057 study reports mean and sd exact sample size provided NA NA NA 18 4.6200000 0.9800000 NA NA 0.230988215 study reports mean and sd exact sample size provided NA NA NA NA
NA NA NA KM Effect of thiamethoxam on the behavioral profile alteration and toxicity of adult zebrafish at environmentally relevant concentrations 10.1016/j.scitotenv.2022.159883 https://www.sciencedirect.com/science/article/pii/S0048969722069832#:~:text=This%20result%20showed%20that%20THM,restlessness%20for%20adult%20male%20zebrafish. Science of The Total Environment yang_2023 yang_2023_exp_002 yang_2023_exp2_005 yang_2023_exp_002_assay_006 yang_2023_exp2_005_assay_003 zebrafish Danio rerio commercial supplier not_wild male thiamethoxam commercial 153719-23-4 https://commonchemistry.cas.org/detail?cas_rn=153719-23-4&search=thiamethoxam neonicotinoid 10 ug/L 45 days none none not reported not reported social recognition sociality distance to familiar fish distance to conspecific count change tables4 yang_2023_tables4 NA NA NA 18 4.5200000 0.9100000 NA NA 0.214489057 study reports mean and sd exact sample size provided NA NA NA 18 3.2500000 1.0500000 NA NA 0.247487373 study reports mean and sd exact sample size provided NA NA NA NA
NA NA NA KM Effect of thiamethoxam on the behavioral profile alteration and toxicity of adult zebrafish at environmentally relevant concentrations 10.1016/j.scitotenv.2022.159883 https://www.sciencedirect.com/science/article/pii/S0048969722069832#:~:text=This%20result%20showed%20that%20THM,restlessness%20for%20adult%20male%20zebrafish. Science of The Total Environment yang_2023 yang_2023_exp_003 yang_2023_exp2_006 yang_2023_exp_003_assay_006 yang_2023_exp2_006_assay_003 zebrafish Danio rerio commercial supplier not_wild male thiamethoxam commercial 153719-23-4 https://commonchemistry.cas.org/detail?cas_rn=153719-23-4&search=thiamethoxam neonicotinoid 1000 ug/L 45 days none none not reported not reported social recognition sociality distance to familiar fish distance to conspecific count change tables4 yang_2023_tables4 NA NA NA 18 4.5200000 0.9100000 NA NA 0.214489057 study reports mean and sd exact sample size provided NA NA NA 18 2.7200000 0.9700000 NA NA 0.228631193 study reports mean and sd exact sample size provided NA NA NA NA
NA NA NA KM Effect of thiamethoxam on the behavioral profile alteration and toxicity of adult zebrafish at environmentally relevant concentrations 10.1016/j.scitotenv.2022.159883 https://www.sciencedirect.com/science/article/pii/S0048969722069832#:~:text=This%20result%20showed%20that%20THM,restlessness%20for%20adult%20male%20zebrafish. Science of The Total Environment yang_2023 yang_2023_exp_001 yang_2023_exp2_007 yang_2023_exp_001_assay_007 yang_2023_exp2_007_assay_001 zebrafish Danio rerio commercial supplier not_wild male thiamethoxam commercial 153719-23-4 https://commonchemistry.cas.org/detail?cas_rn=153719-23-4&search=thiamethoxam neonicotinoid 0.1 ug/L 45 days none none not reported not reported aggression aggression number of transition to the attack zone frequency of entries into aggression zone zone NA fig3g yang_2023_tables4 NA NA NA 24 51.0000000 20.0000000 NA NA 4.082482905 study reports mean and sd exact sample size provided NA NA NA 24 55.0000000 18.0000000 NA NA 3.674234614 study reports mean and sd exact sample size provided NA NA NA NA
NA NA NA KM Effect of thiamethoxam on the behavioral profile alteration and toxicity of adult zebrafish at environmentally relevant concentrations 10.1016/j.scitotenv.2022.159883 https://www.sciencedirect.com/science/article/pii/S0048969722069832#:~:text=This%20result%20showed%20that%20THM,restlessness%20for%20adult%20male%20zebrafish. Science of The Total Environment yang_2023 yang_2023_exp_002 yang_2023_exp2_008 yang_2023_exp_002_assay_007 yang_2023_exp2_008_assay_001 zebrafish Danio rerio commercial supplier not_wild male thiamethoxam commercial 153719-23-4 https://commonchemistry.cas.org/detail?cas_rn=153719-23-4&search=thiamethoxam neonicotinoid 10 ug/L 45 days none none not reported not reported aggression aggression number of transition to the attack zone frequency of entries into aggression zone zone NA fig3g yang_2023_tables4 NA NA NA 24 51.0000000 20.0000000 NA NA 4.082482905 study reports mean and sd exact sample size provided NA NA NA 24 51.0000000 18.0000000 NA NA 3.674234614 study reports mean and sd exact sample size provided NA NA NA NA
NA NA NA KM Effect of thiamethoxam on the behavioral profile alteration and toxicity of adult zebrafish at environmentally relevant concentrations 10.1016/j.scitotenv.2022.159883 https://www.sciencedirect.com/science/article/pii/S0048969722069832#:~:text=This%20result%20showed%20that%20THM,restlessness%20for%20adult%20male%20zebrafish. Science of The Total Environment yang_2023 yang_2023_exp_003 yang_2023_exp2_009 yang_2023_exp_003_assay_007 yang_2023_exp2_009_assay_001 zebrafish Danio rerio commercial supplier not_wild male thiamethoxam commercial 153719-23-4 https://commonchemistry.cas.org/detail?cas_rn=153719-23-4&search=thiamethoxam neonicotinoid 1000 ug/L 45 days none none not reported not reported aggression aggression number of transition to the attack zone frequency of entries into aggression zone zone NA fig3g yang_2023_tables4 NA NA NA 24 51.0000000 20.0000000 NA NA 4.082482905 study reports mean and sd exact sample size provided NA NA NA 24 70.0000000 28.0000000 NA NA 5.715476066 study reports mean and sd exact sample size provided NA NA NA NA
NA NA NA KM Effect of thiamethoxam on the behavioral profile alteration and toxicity of adult zebrafish at environmentally relevant concentrations 10.1016/j.scitotenv.2022.159883 https://www.sciencedirect.com/science/article/pii/S0048969722069832#:~:text=This%20result%20showed%20that%20THM,restlessness%20for%20adult%20male%20zebrafish. Science of The Total Environment yang_2023 yang_2023_exp_001 yang_2023_exp2_007 yang_2023_exp_001_assay_008 yang_2023_exp2_007_assay_002 zebrafish Danio rerio commercial supplier not_wild male thiamethoxam commercial 153719-23-4 https://commonchemistry.cas.org/detail?cas_rn=153719-23-4&search=thiamethoxam neonicotinoid 0.1 ug/L 45 days none none not reported not reported aggression aggression biting time duration of aggressive behaviour NA NA fig3h yang_2023_tables4 NA NA NA 24 104.7000000 73.2100000 NA NA 14.94392867 study reports mean and sd exact sample size provided NA NA NA 24 87.1400000 45.3300000 NA NA 9.252947503 study reports mean and sd exact sample size provided NA NA NA NA
NA NA NA KM Effect of thiamethoxam on the behavioral profile alteration and toxicity of adult zebrafish at environmentally relevant concentrations 10.1016/j.scitotenv.2022.159883 https://www.sciencedirect.com/science/article/pii/S0048969722069832#:~:text=This%20result%20showed%20that%20THM,restlessness%20for%20adult%20male%20zebrafish. Science of The Total Environment yang_2023 yang_2023_exp_002 yang_2023_exp2_008 yang_2023_exp_002_assay_008 yang_2023_exp2_008_assay_002 zebrafish Danio rerio commercial supplier not_wild male thiamethoxam commercial 153719-23-4 https://commonchemistry.cas.org/detail?cas_rn=153719-23-4&search=thiamethoxam neonicotinoid 10 ug/L 45 days none none not reported not reported aggression aggression biting time duration of aggressive behaviour NA NA fig3h yang_2023_tables4 NA NA NA 24 104.7000000 73.2100000 NA NA 14.94392867 study reports mean and sd exact sample size provided NA NA NA 24 82.6000000 59.2600000 NA NA 12.09639685 study reports mean and sd exact sample size provided NA NA NA NA
NA NA NA KM Effect of thiamethoxam on the behavioral profile alteration and toxicity of adult zebrafish at environmentally relevant concentrations 10.1016/j.scitotenv.2022.159883 https://www.sciencedirect.com/science/article/pii/S0048969722069832#:~:text=This%20result%20showed%20that%20THM,restlessness%20for%20adult%20male%20zebrafish. Science of The Total Environment yang_2023 yang_2023_exp_003 yang_2023_exp2_009 yang_2023_exp_003_assay_008 yang_2023_exp2_009_assay_002 zebrafish Danio rerio commercial supplier not_wild male thiamethoxam commercial 153719-23-4 https://commonchemistry.cas.org/detail?cas_rn=153719-23-4&search=thiamethoxam neonicotinoid 1000 ug/L 45 days none none not reported not reported aggression aggression biting time duration of aggressive behaviour NA NA fig3h yang_2023_tables4 NA NA NA 24 104.7000000 73.2100000 NA NA 14.94392867 study reports mean and sd exact sample size provided NA NA NA 24 155.8000000 111.9000000 NA NA 22.84149185 study reports mean and sd exact sample size provided NA NA NA NA
NA NA NA KM Atrazine and Diuron Effects on Survival, Embryo Development, and Behavior in Larvae and Adult Zebrafish 10.3389/fphar.2022.841826 https://www.frontiersin.org/journals/pharmacology/articles/10.3389/fphar.2022.841826/full Frontiers in<a0>Pharmacology zaluski_2022 zaluski_2022_exp_001 zaluski_2022_exp2_001 zaluski_2022_exp_001_assay_001 zaluski_2022_exp2_001_assay2_001 zebrafish Danio rerio laboratory stock from not specified source not_wild mixed atrazine commercial 1912-24-9 https://commonchemistry.cas.org/detail?cas_rn=1912-24-9&search=atrazine triazine 0.5 mg/L 96 hours none none 28 celsius aggression aggression time in stimulus zone close to mirror time spent in aggression zone zone NA fig7a zaluski_2022_fig7a NA NA NA 18 191.1742446 65.0538239 NA NA 15.33333333 study reports mean and se exact sample size provided NA NA NA 18 230.6130256 58.5029846 NA NA 13.78928571 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Atrazine and Diuron Effects on Survival, Embryo Development, and Behavior in Larvae and Adult Zebrafish 10.3389/fphar.2022.841826 https://www.frontiersin.org/journals/pharmacology/articles/10.3389/fphar.2022.841826/full Frontiers in<a0>Pharmacology zaluski_2022 zaluski_2022_exp_002 zaluski_2022_exp2_002 zaluski_2022_exp_002_assay_001 zaluski_2022_exp2_002_assay2_001 zebrafish Danio rerio laboratory stock from not specified source not_wild mixed atrazine commercial 1912-24-9 https://commonchemistry.cas.org/detail?cas_rn=1912-24-9&search=atrazine triazine 1 mg/L 96 hours none none 28 celsius aggression aggression time in stimulus zone close to mirror time spent in aggression zone zone NA fig7a zaluski_2022_fig7a NA NA NA 18 191.1742446 65.0538239 NA NA 15.33333333 study reports mean and se exact sample size provided NA NA NA 18 228.8290159 59.4938649 NA NA 14.02283845 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Atrazine and Diuron Effects on Survival, Embryo Development, and Behavior in Larvae and Adult Zebrafish 10.3389/fphar.2022.841826 https://www.frontiersin.org/journals/pharmacology/articles/10.3389/fphar.2022.841826/full Frontiers in<a0>Pharmacology zaluski_2022 zaluski_2022_exp_003 zaluski_2022_exp2_003 zaluski_2022_exp_003_assay_001 zaluski_2022_exp2_003_assay2_001 zebrafish Danio rerio laboratory stock from not specified source not_wild mixed atrazine commercial 1912-24-9 https://commonchemistry.cas.org/detail?cas_rn=1912-24-9&search=atrazine triazine 2 mg/L 96 hours none none 28 celsius aggression aggression time in stimulus zone close to mirror time spent in aggression zone zone NA fig7a zaluski_2022_fig7a NA NA NA 18 191.1742446 65.0538239 NA NA 15.33333333 study reports mean and se exact sample size provided NA NA NA 18 232.2568209 54.2055214 NA NA 12.77636392 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Atrazine and Diuron Effects on Survival, Embryo Development, and Behavior in Larvae and Adult Zebrafish 10.3389/fphar.2022.841826 https://www.frontiersin.org/journals/pharmacology/articles/10.3389/fphar.2022.841826/full Frontiers in<a0>Pharmacology zaluski_2022 zaluski_2022_exp_004 zaluski_2022_exp2_004 zaluski_2022_exp_004_assay_001 zaluski_2022_exp2_004_assay2_001 zebrafish Danio rerio laboratory stock from not specified source not_wild mixed atrazine commercial 1912-24-9 https://commonchemistry.cas.org/detail?cas_rn=1912-24-9&search=atrazine triazine 2.5 mg/L 96 hours none none 28 celsius aggression aggression time in stimulus zone close to mirror time spent in aggression zone zone NA fig7a zaluski_2022_fig7a NA NA NA 18 191.1742446 65.0538239 NA NA 15.33333333 study reports mean and se exact sample size provided NA NA NA 18 226.4558090 68.0943830 NA NA 16.05 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Atrazine and Diuron Effects on Survival, Embryo Development, and Behavior in Larvae and Adult Zebrafish 10.3389/fphar.2022.841826 https://www.frontiersin.org/journals/pharmacology/articles/10.3389/fphar.2022.841826/full Frontiers in<a0>Pharmacology zaluski_2022 zaluski_2022_exp_005 zaluski_2022_exp2_005 zaluski_2022_exp_005_assay_001 zaluski_2022_exp2_005_assay2_001 zebrafish Danio rerio laboratory stock from not specified source not_wild mixed atrazine commercial 1912-24-9 https://commonchemistry.cas.org/detail?cas_rn=1912-24-9&search=atrazine triazine 5 mg/L 96 hours none none 28 celsius aggression aggression time in stimulus zone close to mirror time spent in aggression zone zone NA fig7a zaluski_2022_fig7a NA NA NA 18 191.1742446 65.0538239 NA NA 15.33333333 study reports mean and se exact sample size provided NA NA NA 18 209.3558090 72.5491558 NA NA 17.1 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Atrazine and Diuron Effects on Survival, Embryo Development, and Behavior in Larvae and Adult Zebrafish 10.3389/fphar.2022.841826 https://www.frontiersin.org/journals/pharmacology/articles/10.3389/fphar.2022.841826/full Frontiers in<a0>Pharmacology zaluski_2022 zaluski_2022_exp_001 zaluski_2022_exp2_001 zaluski_2022_exp_001_assay_002 zaluski_2022_exp2_001_assay2_002 zebrafish Danio rerio laboratory stock from not specified source not_wild mixed atrazine commercial 1912-24-9 https://commonchemistry.cas.org/detail?cas_rn=1912-24-9&search=atrazine triazine 0.5 mg/L 96 hours none none 28 celsius aggression aggression number of bites frequency of aggressive behaviour count NA fig7b zaluski_2022_fig7b NA NA NA 18 238.1687637 81.6973497 NA NA 19.25625 study reports mean and se exact sample size provided NA NA NA 18 252.6040943 62.2554488 NA NA 14.67375 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Atrazine and Diuron Effects on Survival, Embryo Development, and Behavior in Larvae and Adult Zebrafish 10.3389/fphar.2022.841826 https://www.frontiersin.org/journals/pharmacology/articles/10.3389/fphar.2022.841826/full Frontiers in<a0>Pharmacology zaluski_2022 zaluski_2022_exp_002 zaluski_2022_exp2_002 zaluski_2022_exp_002_assay_002 zaluski_2022_exp2_002_assay2_002 zebrafish Danio rerio laboratory stock from not specified source not_wild mixed atrazine commercial 1912-24-9 https://commonchemistry.cas.org/detail?cas_rn=1912-24-9&search=atrazine triazine 1 mg/L 96 hours none none 28 celsius aggression aggression number of bites frequency of aggressive behaviour count NA fig7b zaluski_2022_fig7b NA NA NA 18 238.1687637 81.6973497 NA NA 19.25625 study reports mean and se exact sample size provided NA NA NA 18 255.7298922 67.5889318 NA NA 15.93086401 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Atrazine and Diuron Effects on Survival, Embryo Development, and Behavior in Larvae and Adult Zebrafish 10.3389/fphar.2022.841826 https://www.frontiersin.org/journals/pharmacology/articles/10.3389/fphar.2022.841826/full Frontiers in<a0>Pharmacology zaluski_2022 zaluski_2022_exp_003 zaluski_2022_exp2_003 zaluski_2022_exp_003_assay_002 zaluski_2022_exp2_003_assay2_002 zebrafish Danio rerio laboratory stock from not specified source not_wild mixed atrazine commercial 1912-24-9 https://commonchemistry.cas.org/detail?cas_rn=1912-24-9&search=atrazine triazine 2 mg/L 96 hours none none 28 celsius aggression aggression number of bites frequency of aggressive behaviour count NA fig7b zaluski_2022_fig7b NA NA NA 18 238.1687637 81.6973497 NA NA 19.25625 study reports mean and se exact sample size provided NA NA NA 18 253.6647802 41.3043472 NA NA 9.735528004 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Atrazine and Diuron Effects on Survival, Embryo Development, and Behavior in Larvae and Adult Zebrafish 10.3389/fphar.2022.841826 https://www.frontiersin.org/journals/pharmacology/articles/10.3389/fphar.2022.841826/full Frontiers in<a0>Pharmacology zaluski_2022 zaluski_2022_exp_004 zaluski_2022_exp2_004 zaluski_2022_exp_004_assay_002 zaluski_2022_exp2_004_assay2_002 zebrafish Danio rerio laboratory stock from not specified source not_wild mixed atrazine commercial 1912-24-9 https://commonchemistry.cas.org/detail?cas_rn=1912-24-9&search=atrazine triazine 2.5 mg/L 96 hours none none 28 celsius aggression aggression number of bites frequency of aggressive behaviour count NA fig7b zaluski_2022_fig7b NA NA NA 18 238.1687637 81.6973497 NA NA 19.25625 study reports mean and se exact sample size provided NA NA NA 18 270.4806922 46.3109348 NA NA 10.915592 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Atrazine and Diuron Effects on Survival, Embryo Development, and Behavior in Larvae and Adult Zebrafish 10.3389/fphar.2022.841826 https://www.frontiersin.org/journals/pharmacology/articles/10.3389/fphar.2022.841826/full Frontiers in<a0>Pharmacology zaluski_2022 zaluski_2022_exp_005 zaluski_2022_exp2_005 zaluski_2022_exp_005_assay_002 zaluski_2022_exp2_005_assay2_002 zebrafish Danio rerio laboratory stock from not specified source not_wild mixed atrazine commercial 1912-24-9 https://commonchemistry.cas.org/detail?cas_rn=1912-24-9&search=atrazine triazine 5 mg/L 96 hours none none 28 celsius aggression aggression number of bites frequency of aggressive behaviour count NA fig7b zaluski_2022_fig7b NA NA NA 18 238.1687637 81.6973497 NA NA 19.25625 study reports mean and se exact sample size provided NA NA NA 18 258.9750682 56.3241098 NA NA 13.27572001 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Atrazine and Diuron Effects on Survival, Embryo Development, and Behavior in Larvae and Adult Zebrafish 10.3389/fphar.2022.841826 https://www.frontiersin.org/journals/pharmacology/articles/10.3389/fphar.2022.841826/full Frontiers in<a0>Pharmacology zaluski_2022 zaluski_2022_exp_001 zaluski_2022_exp2_001 zaluski_2022_exp_001_assay_003 zaluski_2022_exp2_001_assay2_003 zebrafish Danio rerio laboratory stock from not specified source not_wild mixed atrazine commercial 1912-24-9 https://commonchemistry.cas.org/detail?cas_rn=1912-24-9&search=atrazine triazine 0.5 mg/L 96 hours none none 28 celsius social interaction sociality time in stimulus zone close to mirror time spent in social zone zone NA fig7e zaluski_2022_fig7e NA NA NA 18 121.2528529 88.9421300 NA NA 20.9638611 study reports mean and se exact sample size provided NA NA NA 18 112.9625963 86.9447732 NA NA 20.49307958 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Atrazine and Diuron Effects on Survival, Embryo Development, and Behavior in Larvae and Adult Zebrafish 10.3389/fphar.2022.841826 https://www.frontiersin.org/journals/pharmacology/articles/10.3389/fphar.2022.841826/full Frontiers in<a0>Pharmacology zaluski_2022 zaluski_2022_exp_002 zaluski_2022_exp2_002 zaluski_2022_exp_002_assay_003 zaluski_2022_exp2_002_assay2_003 zebrafish Danio rerio laboratory stock from not specified source not_wild mixed atrazine commercial 1912-24-9 https://commonchemistry.cas.org/detail?cas_rn=1912-24-9&search=atrazine triazine 1 mg/L 96 hours none none 28 celsius social interaction sociality time in stimulus zone close to mirror time spent in social zone zone NA fig7e zaluski_2022_fig7e NA NA NA 18 121.2528529 88.9421300 NA NA 20.9638611 study reports mean and se exact sample size provided NA NA NA 18 94.4191107 55.7370682 NA NA 13.13735295 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Atrazine and Diuron Effects on Survival, Embryo Development, and Behavior in Larvae and Adult Zebrafish 10.3389/fphar.2022.841826 https://www.frontiersin.org/journals/pharmacology/articles/10.3389/fphar.2022.841826/full Frontiers in<a0>Pharmacology zaluski_2022 zaluski_2022_exp_003 zaluski_2022_exp2_003 zaluski_2022_exp_003_assay_003 zaluski_2022_exp2_003_assay2_003 zebrafish Danio rerio laboratory stock from not specified source not_wild mixed atrazine commercial 1912-24-9 https://commonchemistry.cas.org/detail?cas_rn=1912-24-9&search=atrazine triazine 2 mg/L 96 hours none none 28 celsius social interaction sociality time in stimulus zone close to mirror time spent in social zone zone NA fig7e zaluski_2022_fig7e NA NA NA 18 121.2528529 88.9421300 NA NA 20.9638611 study reports mean and se exact sample size provided NA NA NA 18 96.9347741 72.3395991 NA NA 17.05060703 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Atrazine and Diuron Effects on Survival, Embryo Development, and Behavior in Larvae and Adult Zebrafish 10.3389/fphar.2022.841826 https://www.frontiersin.org/journals/pharmacology/articles/10.3389/fphar.2022.841826/full Frontiers in<a0>Pharmacology zaluski_2022 zaluski_2022_exp_004 zaluski_2022_exp2_004 zaluski_2022_exp_004_assay_003 zaluski_2022_exp2_004_assay2_003 zebrafish Danio rerio laboratory stock from not specified source not_wild mixed atrazine commercial 1912-24-9 https://commonchemistry.cas.org/detail?cas_rn=1912-24-9&search=atrazine triazine 2.5 mg/L 96 hours none none 28 celsius social interaction sociality time in stimulus zone close to mirror time spent in social zone zone NA fig7e zaluski_2022_fig7e NA NA NA 18 121.2528529 88.9421300 NA NA 20.9638611 study reports mean and se exact sample size provided NA NA NA 18 97.2142922 43.8781175 NA NA 10.34217147 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Atrazine and Diuron Effects on Survival, Embryo Development, and Behavior in Larvae and Adult Zebrafish 10.3389/fphar.2022.841826 https://www.frontiersin.org/journals/pharmacology/articles/10.3389/fphar.2022.841826/full Frontiers in<a0>Pharmacology zaluski_2022 zaluski_2022_exp_005 zaluski_2022_exp2_005 zaluski_2022_exp_005_assay_003 zaluski_2022_exp2_005_assay2_003 zebrafish Danio rerio laboratory stock from not specified source not_wild mixed atrazine commercial 1912-24-9 https://commonchemistry.cas.org/detail?cas_rn=1912-24-9&search=atrazine triazine 5 mg/L 96 hours none none 28 celsius social interaction sociality time in stimulus zone close to mirror time spent in social zone zone NA fig7e zaluski_2022_fig7e NA NA NA 18 121.2528529 88.9421300 NA NA 20.9638611 study reports mean and se exact sample size provided NA NA NA 18 65.9082597 50.9934879 NA NA 12.01928036 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Atrazine and Diuron Effects on Survival, Embryo Development, and Behavior in Larvae and Adult Zebrafish 10.3389/fphar.2022.841826 https://www.frontiersin.org/journals/pharmacology/articles/10.3389/fphar.2022.841826/full Frontiers in<a0>Pharmacology zaluski_2022 zaluski_2022_exp_001 zaluski_2022_exp2_001 zaluski_2022_exp_001_assay_004 zaluski_2022_exp2_001_assay2_003 zebrafish Danio rerio laboratory stock from not specified source not_wild mixed diuron commercial 330-54-1 https://commonchemistry.cas.org/detail?cas_rn=330-54-1&search=diuron urea 0.5 mg/L 96 hours none none 28 celsius aggression aggression time in stimulus zone close to mirror time spent in social zone zone NA fig7c zaluski_2022_fig7c NA NA NA 18 63.5261868 59.0181751 NA NA 13.91071727 study reports mean and se exact sample size provided NA NA NA 18 76.1722934 61.3175845 NA NA 14.45269327 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Atrazine and Diuron Effects on Survival, Embryo Development, and Behavior in Larvae and Adult Zebrafish 10.3389/fphar.2022.841826 https://www.frontiersin.org/journals/pharmacology/articles/10.3389/fphar.2022.841826/full Frontiers in<a0>Pharmacology zaluski_2022 zaluski_2022_exp_002 zaluski_2022_exp2_002 zaluski_2022_exp_002_assay_004 zaluski_2022_exp2_002_assay2_003 zebrafish Danio rerio laboratory stock from not specified source not_wild mixed diuron commercial 330-54-1 https://commonchemistry.cas.org/detail?cas_rn=330-54-1&search=diuron urea 1 mg/L 96 hours none none 28 celsius aggression aggression time in stimulus zone close to mirror time spent in social zone zone NA fig7c zaluski_2022_fig7c NA NA NA 18 63.5261868 59.0181751 NA NA 13.91071727 study reports mean and se exact sample size provided NA NA NA 18 75.0883414 63.6169939 NA NA 14.99466926 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Atrazine and Diuron Effects on Survival, Embryo Development, and Behavior in Larvae and Adult Zebrafish 10.3389/fphar.2022.841826 https://www.frontiersin.org/journals/pharmacology/articles/10.3389/fphar.2022.841826/full Frontiers in<a0>Pharmacology zaluski_2022 zaluski_2022_exp_003 zaluski_2022_exp2_003 zaluski_2022_exp_003_assay_004 zaluski_2022_exp2_003_assay2_003 zebrafish Danio rerio laboratory stock from not specified source not_wild mixed diuron commercial 330-54-1 https://commonchemistry.cas.org/detail?cas_rn=330-54-1&search=diuron urea 2 mg/L 96 hours none none 28 celsius aggression aggression time in stimulus zone close to mirror time spent in social zone zone NA fig7c zaluski_2022_fig7c NA NA NA 18 63.5261868 59.0181751 NA NA 13.91071727 study reports mean and se exact sample size provided NA NA NA 18 77.6175628 52.8864166 NA NA 12.46544794 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Atrazine and Diuron Effects on Survival, Embryo Development, and Behavior in Larvae and Adult Zebrafish 10.3389/fphar.2022.841826 https://www.frontiersin.org/journals/pharmacology/articles/10.3389/fphar.2022.841826/full Frontiers in<a0>Pharmacology zaluski_2022 zaluski_2022_exp_004 zaluski_2022_exp2_004 zaluski_2022_exp_004_assay_004 zaluski_2022_exp2_004_assay2_003 zebrafish Danio rerio laboratory stock from not specified source not_wild mixed diuron commercial 330-54-1 https://commonchemistry.cas.org/detail?cas_rn=330-54-1&search=diuron urea 2.5 mg/L 96 hours none none 28 celsius aggression aggression time in stimulus zone close to mirror time spent in social zone zone NA fig7c zaluski_2022_fig7c NA NA NA 18 63.5261868 59.0181751 NA NA 13.91071727 study reports mean and se exact sample size provided NA NA NA 18 113.1954355 64.1601215 NA NA 15.12268567 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Atrazine and Diuron Effects on Survival, Embryo Development, and Behavior in Larvae and Adult Zebrafish 10.3389/fphar.2022.841826 https://www.frontiersin.org/journals/pharmacology/articles/10.3389/fphar.2022.841826/full Frontiers in<a0>Pharmacology zaluski_2022 zaluski_2022_exp_005 zaluski_2022_exp2_005 zaluski_2022_exp_005_assay_004 zaluski_2022_exp2_005_assay2_003 zebrafish Danio rerio laboratory stock from not specified source not_wild mixed diuron commercial 330-54-1 https://commonchemistry.cas.org/detail?cas_rn=330-54-1&search=diuron urea 5 mg/L 96 hours none none 28 celsius aggression aggression time in stimulus zone close to mirror time spent in social zone zone NA fig7c zaluski_2022_fig7c NA NA NA 18 63.5261868 59.0181751 NA NA 13.91071727 study reports mean and se exact sample size provided NA NA NA 18 99.5850184 72.1801367 NA NA 17.01302138 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Atrazine and Diuron Effects on Survival, Embryo Development, and Behavior in Larvae and Adult Zebrafish 10.3389/fphar.2022.841826 https://www.frontiersin.org/journals/pharmacology/articles/10.3389/fphar.2022.841826/full Frontiers in<a0>Pharmacology zaluski_2022 zaluski_2022_exp_001 zaluski_2022_exp2_001 zaluski_2022_exp_001_assay_005 zaluski_2022_exp2_001_assay2_004 zebrafish Danio rerio laboratory stock from not specified source not_wild mixed diuron commercial 330-54-1 https://commonchemistry.cas.org/detail?cas_rn=330-54-1&search=diuron urea 0.5 mg/L 96 hours none none 28 celsius aggression aggression number of bites frequency of aggressive behaviour count NA fig7d zaluski_2022_fig7d NA NA NA 18 1.6396186 2.6436709 NA NA 0.623119213 study reports mean and se exact sample size provided NA NA NA 18 2.2366158 3.1366815 NA NA 0.739322917 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Atrazine and Diuron Effects on Survival, Embryo Development, and Behavior in Larvae and Adult Zebrafish 10.3389/fphar.2022.841826 https://www.frontiersin.org/journals/pharmacology/articles/10.3389/fphar.2022.841826/full Frontiers in<a0>Pharmacology zaluski_2022 zaluski_2022_exp_002 zaluski_2022_exp2_002 zaluski_2022_exp_002_assay_005 zaluski_2022_exp2_002_assay2_004 zebrafish Danio rerio laboratory stock from not specified source not_wild mixed diuron commercial 330-54-1 https://commonchemistry.cas.org/detail?cas_rn=330-54-1&search=diuron urea 1 mg/L 96 hours none none 28 celsius aggression aggression number of bites frequency of aggressive behaviour count NA fig7d zaluski_2022_fig7d NA NA NA 18 1.6396186 2.6436709 NA NA 0.623119213 study reports mean and se exact sample size provided NA NA NA 18 2.4004179 4.0570252 NA NA 0.95625 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Atrazine and Diuron Effects on Survival, Embryo Development, and Behavior in Larvae and Adult Zebrafish 10.3389/fphar.2022.841826 https://www.frontiersin.org/journals/pharmacology/articles/10.3389/fphar.2022.841826/full Frontiers in<a0>Pharmacology zaluski_2022 zaluski_2022_exp_003 zaluski_2022_exp2_003 zaluski_2022_exp_003_assay_005 zaluski_2022_exp2_003_assay2_004 zebrafish Danio rerio laboratory stock from not specified source not_wild mixed diuron commercial 330-54-1 https://commonchemistry.cas.org/detail?cas_rn=330-54-1&search=diuron urea 2 mg/L 96 hours none none 28 celsius aggression aggression number of bites frequency of aggressive behaviour count NA fig7d zaluski_2022_fig7d NA NA NA 18 1.6396186 2.6436709 NA NA 0.623119213 study reports mean and se exact sample size provided NA NA NA 18 3.3457322 3.9111844 NA NA 0.921875 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Atrazine and Diuron Effects on Survival, Embryo Development, and Behavior in Larvae and Adult Zebrafish 10.3389/fphar.2022.841826 https://www.frontiersin.org/journals/pharmacology/articles/10.3389/fphar.2022.841826/full Frontiers in<a0>Pharmacology zaluski_2022 zaluski_2022_exp_004 zaluski_2022_exp2_004 zaluski_2022_exp_004_assay_005 zaluski_2022_exp2_004_assay2_004 zebrafish Danio rerio laboratory stock from not specified source not_wild mixed diuron commercial 330-54-1 https://commonchemistry.cas.org/detail?cas_rn=330-54-1&search=diuron urea 2.5 mg/L 96 hours none none 28 celsius aggression aggression number of bites frequency of aggressive behaviour count NA fig7d zaluski_2022_fig7d NA NA NA 18 1.6396186 2.6436709 NA NA 0.623119213 study reports mean and se exact sample size provided NA NA NA 18 3.0218627 3.9688823 NA NA 0.935474537 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Atrazine and Diuron Effects on Survival, Embryo Development, and Behavior in Larvae and Adult Zebrafish 10.3389/fphar.2022.841826 https://www.frontiersin.org/journals/pharmacology/articles/10.3389/fphar.2022.841826/full Frontiers in<a0>Pharmacology zaluski_2022 zaluski_2022_exp_005 zaluski_2022_exp2_005 zaluski_2022_exp_005_assay_005 zaluski_2022_exp2_005_assay2_004 zebrafish Danio rerio laboratory stock from not specified source not_wild mixed diuron commercial 330-54-1 https://commonchemistry.cas.org/detail?cas_rn=330-54-1&search=diuron urea 5 mg/L 96 hours none none 28 celsius aggression aggression number of bites frequency of aggressive behaviour count NA fig7d zaluski_2022_fig7d NA NA NA 18 1.6396186 2.6436709 NA NA 0.623119213 study reports mean and se exact sample size provided NA NA NA 18 2.2284545 2.8697978 NA NA 0.676417824 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Atrazine and Diuron Effects on Survival, Embryo Development, and Behavior in Larvae and Adult Zebrafish 10.3389/fphar.2022.841826 https://www.frontiersin.org/journals/pharmacology/articles/10.3389/fphar.2022.841826/full Frontiers in<a0>Pharmacology zaluski_2022 zaluski_2022_exp_001 zaluski_2022_exp2_001 zaluski_2022_exp_001_assay_006 zaluski_2022_exp2_001_assay2_005 zebrafish Danio rerio laboratory stock from not specified source not_wild mixed diuron commercial 330-54-1 https://commonchemistry.cas.org/detail?cas_rn=330-54-1&search=diuron urea 0.5 mg/L 96 hours none none 28 celsius social interaction sociality time in stimulus zone close to mirror time spent in social zone zone NA fig7f zaluski_2022_fig7f NA NA NA 18 1.5801555 2.0427529 NA NA 0.481481481 study reports mean and se exact sample size provided NA NA NA 18 1.0767885 3.2188834 NA NA 0.758698092 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Atrazine and Diuron Effects on Survival, Embryo Development, and Behavior in Larvae and Adult Zebrafish 10.3389/fphar.2022.841826 https://www.frontiersin.org/journals/pharmacology/articles/10.3389/fphar.2022.841826/full Frontiers in<a0>Pharmacology zaluski_2022 zaluski_2022_exp_002 zaluski_2022_exp2_002 zaluski_2022_exp_002_assay_006 zaluski_2022_exp2_002_assay2_005 zebrafish Danio rerio laboratory stock from not specified source not_wild mixed diuron commercial 330-54-1 https://commonchemistry.cas.org/detail?cas_rn=330-54-1&search=diuron urea 1 mg/L 96 hours none none 28 celsius social interaction sociality time in stimulus zone close to mirror time spent in social zone zone NA fig7f zaluski_2022_fig7f NA NA NA 18 1.5801555 2.0427529 NA NA 0.481481481 study reports mean and se exact sample size provided NA NA NA 18 2.5961782 4.3748958 NA NA 1.03117284 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Atrazine and Diuron Effects on Survival, Embryo Development, and Behavior in Larvae and Adult Zebrafish 10.3389/fphar.2022.841826 https://www.frontiersin.org/journals/pharmacology/articles/10.3389/fphar.2022.841826/full Frontiers in<a0>Pharmacology zaluski_2022 zaluski_2022_exp_003 zaluski_2022_exp2_003 zaluski_2022_exp_003_assay_006 zaluski_2022_exp2_003_assay2_005 zebrafish Danio rerio laboratory stock from not specified source not_wild mixed diuron commercial 330-54-1 https://commonchemistry.cas.org/detail?cas_rn=330-54-1&search=diuron urea 2 mg/L 96 hours none none 28 celsius social interaction sociality time in stimulus zone close to mirror time spent in social zone zone NA fig7f zaluski_2022_fig7f NA NA NA 18 1.5801555 2.0427529 NA NA 0.481481481 study reports mean and se exact sample size provided NA NA NA 18 2.4637707 3.5067259 NA NA 0.82654321 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Atrazine and Diuron Effects on Survival, Embryo Development, and Behavior in Larvae and Adult Zebrafish 10.3389/fphar.2022.841826 https://www.frontiersin.org/journals/pharmacology/articles/10.3389/fphar.2022.841826/full Frontiers in<a0>Pharmacology zaluski_2022 zaluski_2022_exp_004 zaluski_2022_exp2_004 zaluski_2022_exp_004_assay_006 zaluski_2022_exp2_004_assay2_005 zebrafish Danio rerio laboratory stock from not specified source not_wild mixed diuron commercial 330-54-1 https://commonchemistry.cas.org/detail?cas_rn=330-54-1&search=diuron urea 2.5 mg/L 96 hours none none 28 celsius social interaction sociality time in stimulus zone close to mirror time spent in social zone zone NA fig7f zaluski_2022_fig7f NA NA NA 18 1.5801555 2.0427529 NA NA 0.481481481 study reports mean and se exact sample size provided NA NA NA 18 2.4646725 3.5079163 NA NA 0.826823793 study reports mean and se exact sample size provided NA NA NA NA
NA NA NA KM Atrazine and Diuron Effects on Survival, Embryo Development, and Behavior in Larvae and Adult Zebrafish 10.3389/fphar.2022.841826 https://www.frontiersin.org/journals/pharmacology/articles/10.3389/fphar.2022.841826/full Frontiers in<a0>Pharmacology zaluski_2022 zaluski_2022_exp_005 zaluski_2022_exp2_005 zaluski_2022_exp_005_assay_006 zaluski_2022_exp2_005_assay2_005 zebrafish Danio rerio laboratory stock from not specified source not_wild mixed diuron commercial 330-54-1 https://commonchemistry.cas.org/detail?cas_rn=330-54-1&search=diuron urea 5 mg/L 96 hours none none 28 celsius social interaction sociality time in stimulus zone close to mirror time spent in social zone zone NA fig7f zaluski_2022_fig7f NA NA NA 18 1.5801555 2.0427529 NA NA 0.481481481 study reports mean and se exact sample size provided NA NA NA 18 0.1847449 0.6333010 NA NA 0.149270483 study reports mean and se exact sample size provided NA NA NA NA
NA NA SN KM Chronic exposure to environmentally realistic levels of diuron impacts the behaviour of adult marine medaka (Oryzias melastigma) 10.1016/j.aquatox.2021.105917 https://www.sciencedirect.com/science/article/pii/S0166445X21001764?via%3Dihub Aquatic Toxicology zhou_2021 zhou_2021_exp_001 zhou_2021_exp2_001 zhou_2021_exp_001_assay_001 zhou_2021_exp2_001_assay2_001 marine medaka Oryzias melastigma laboratory stock from not specified source not_wild mixed diuron analytical 330-54-1 in paper urea 5 ng/L 105 days DMSO solvent_used 28 celsius aggression aggression time spent on the side closest to the mirror time spent in aggression zone zone NA fig3e zhou_2021_fig3e NA NA NA 22 108.2053673 76.4392733 NA NA 16.29690783 study reports mean and se exact sample size provided NA NA NA 22 93.3168342 35.8603998 NA NA 7.645462935 study reports mean and se exact sample size provided NA NA NA NA
NA NA SN KM Chronic exposure to environmentally realistic levels of diuron impacts the behaviour of adult marine medaka (Oryzias melastigma) 10.1016/j.aquatox.2021.105917 https://www.sciencedirect.com/science/article/pii/S0166445X21001764?via%3Dihub Aquatic Toxicology zhou_2021 zhou_2021_exp_002 zhou_2021_exp2_002 zhou_2021_exp_002_assay_001 zhou_2021_exp2_002_assay2_001 marine medaka Oryzias melastigma laboratory stock from not specified source not_wild mixed diuron analytical 330-54-1 in paper urea 50 ng/L 105 days DMSO solvent_used 28 celsius aggression aggression time spent on the side closest to the mirror time spent in aggression zone zone NA fig3e zhou_2021_fig3e NA NA NA 22 108.2053673 76.4392733 NA NA 16.29690783 study reports mean and se exact sample size provided NA NA NA 22 80.0378723 48.1284314 NA NA 10.26101604 study reports mean and se exact sample size provided NA NA NA NA
NA NA SN KM Chronic exposure to environmentally realistic levels of diuron impacts the behaviour of adult marine medaka (Oryzias melastigma) 10.1016/j.aquatox.2021.105917 https://www.sciencedirect.com/science/article/pii/S0166445X21001764?via%3Dihub Aquatic Toxicology zhou_2021 zhou_2021_exp_003 zhou_2021_exp2_003 zhou_2021_exp_003_assay_001 zhou_2021_exp2_003_assay2_001 marine medaka Oryzias melastigma laboratory stock from not specified source not_wild mixed diuron analytical 330-54-1 in paper urea 500 ng/L 105 days DMSO solvent_used 28 celsius aggression aggression time spent on the side closest to the mirror time spent in aggression zone zone NA fig3e zhou_2021_fig3e NA NA NA 22 108.2053673 76.4392733 NA NA 16.29690783 study reports mean and se exact sample size provided NA NA NA 22 68.9720707 14.1554210 NA NA 3.017945895 study reports mean and se exact sample size provided NA NA NA NA
NA NA SN KM Chronic exposure to environmentally realistic levels of diuron impacts the behaviour of adult marine medaka (Oryzias melastigma) 10.1016/j.aquatox.2021.105917 https://www.sciencedirect.com/science/article/pii/S0166445X21001764?via%3Dihub Aquatic Toxicology zhou_2021 zhou_2021_exp_004 zhou_2021_exp2_004 zhou_2021_exp_004_assay_001 zhou_2021_exp2_004_assay2_001 marine medaka Oryzias melastigma laboratory stock from not specified source not_wild mixed diuron analytical 330-54-1 in paper urea 5000 ng/L 105 days DMSO solvent_used 28 celsius aggression aggression time spent on the side closest to the mirror time spent in aggression zone zone NA fig3e zhou_2021_fig3e NA NA NA 22 108.2053673 76.4392733 NA NA 16.29690783 study reports mean and se exact sample size provided NA NA NA 22 92.9144414 47.1847366 NA NA 10.05981965 study reports mean and se exact sample size provided NA NA NA NA
NA NA SN KM Chronic exposure to environmentally realistic levels of diuron impacts the behaviour of adult marine medaka (Oryzias melastigma) 10.1016/j.aquatox.2021.105917 https://www.sciencedirect.com/science/article/pii/S0166445X21001764?via%3Dihub Aquatic Toxicology zhou_2021 zhou_2021_exp_001 zhou_2021_exp2_001 zhou_2021_exp_001_assay_002 zhou_2021_exp2_001_assay2_002 marine medaka Oryzias melastigma laboratory stock from not specified source not_wild mixed diuron analytical 330-54-1 in paper urea 5 ng/L 105 days DMSO solvent_used 28 celsius aggression aggression mirror biting frequency frequency of aggressive behaviour count NA fig3f zhou_2021_fig3f NA NA NA 22 25.2365820 12.0032838 NA NA 2.559108705 study reports mean and se exact sample size provided NA NA NA 22 28.3344504 15.1620427 NA NA 3.232558364 study reports mean and se exact sample size provided NA NA NA NA
NA NA SN KM Chronic exposure to environmentally realistic levels of diuron impacts the behaviour of adult marine medaka (Oryzias melastigma) 10.1016/j.aquatox.2021.105917 https://www.sciencedirect.com/science/article/pii/S0166445X21001764?via%3Dihub Aquatic Toxicology zhou_2021 zhou_2021_exp_002 zhou_2021_exp2_002 zhou_2021_exp_002_assay_002 zhou_2021_exp2_002_assay2_002 marine medaka Oryzias melastigma laboratory stock from not specified source not_wild mixed diuron analytical 330-54-1 in paper urea 50 ng/L 105 days DMSO solvent_used 28 celsius aggression aggression mirror biting frequency frequency of aggressive behaviour count NA fig3f zhou_2021_fig3f NA NA NA 22 25.2365820 12.0032838 NA NA 2.559108705 study reports mean and se exact sample size provided NA NA NA 22 22.4080934 12.0032838 NA NA 2.559108705 study reports mean and se exact sample size provided NA NA NA NA
NA NA SN KM Chronic exposure to environmentally realistic levels of diuron impacts the behaviour of adult marine medaka (Oryzias melastigma) 10.1016/j.aquatox.2021.105917 https://www.sciencedirect.com/science/article/pii/S0166445X21001764?via%3Dihub Aquatic Toxicology zhou_2021 zhou_2021_exp_003 zhou_2021_exp2_003 zhou_2021_exp_003_assay_002 zhou_2021_exp2_003_assay2_002 marine medaka Oryzias melastigma laboratory stock from not specified source not_wild mixed diuron analytical 330-54-1 in paper urea 500 ng/L 105 days DMSO solvent_used 28 celsius aggression aggression mirror biting frequency frequency of aggressive behaviour count NA fig3f zhou_2021_fig3f NA NA NA 22 25.2365820 12.0032838 NA NA 2.559108705 study reports mean and se exact sample size provided NA NA NA 22 20.8816075 7.1598535 NA NA 1.526485894 study reports mean and se exact sample size provided NA NA NA NA
NA NA SN KM Chronic exposure to environmentally realistic levels of diuron impacts the behaviour of adult marine medaka (Oryzias melastigma) 10.1016/j.aquatox.2021.105917 https://www.sciencedirect.com/science/article/pii/S0166445X21001764?via%3Dihub Aquatic Toxicology zhou_2021 zhou_2021_exp_004 zhou_2021_exp2_004 zhou_2021_exp_004_assay_002 zhou_2021_exp2_004_assay2_002 marine medaka Oryzias melastigma laboratory stock from not specified source not_wild mixed diuron analytical 330-54-1 in paper urea 5000 ng/L 105 days DMSO solvent_used 28 celsius aggression aggression mirror biting frequency frequency of aggressive behaviour count NA fig3f zhou_2021_fig3f NA NA NA 22 25.2365820 12.0032838 NA NA 2.559108705 study reports mean and se exact sample size provided NA NA NA 22 26.2692048 6.3175178 NA NA 1.346899319 study reports mean and se exact sample size provided NA NA NA NA
NA NA SN KM Chronic exposure to environmentally realistic levels of diuron impacts the behaviour of adult marine medaka (Oryzias melastigma) 10.1016/j.aquatox.2021.105917 https://www.sciencedirect.com/science/article/pii/S0166445X21001764?via%3Dihub Aquatic Toxicology zhou_2021 zhou_2021_exp_001 zhou_2021_exp2_005 zhou_2021_exp_001_assay_003 zhou_2021_exp2_005_assay2_001 marine medaka Oryzias melastigma laboratory stock from not specified source not_wild mixed diuron analytical 330-54-1 in paper urea 5 ng/L 122 days DMSO solvent_used 28 celsius shoaling collective behaviour cluster score group arrangment NA NA fig5b zhou_2021_fig5b 9.428571 6.000000 22 6 2.5778057 1.6201614 0.8461017 1.6201614 0.34541958 study reports mean and se exact sample size provided 9.428571 6.000000 22 6 3.0959351 2.3426659 1.2234174 2.3426659 0.499458042 study reports mean and se exact sample size provided NA NA NA NA
NA NA SN KM Chronic exposure to environmentally realistic levels of diuron impacts the behaviour of adult marine medaka (Oryzias melastigma) 10.1016/j.aquatox.2021.105917 https://www.sciencedirect.com/science/article/pii/S0166445X21001764?via%3Dihub Aquatic Toxicology zhou_2021 zhou_2021_exp_002 zhou_2021_exp2_006 zhou_2021_exp_002_assay_003 zhou_2021_exp2_006_assay2_001 marine medaka Oryzias melastigma laboratory stock from not specified source not_wild mixed diuron analytical 330-54-1 in paper urea 50 ng/L 122 days DMSO solvent_used 28 celsius shoaling collective behaviour cluster score group arrangment NA NA fig5b zhou_2021_fig5b 9.428571 6.000000 22 6 2.5778057 1.6201614 0.8461017 1.6201614 0.34541958 study reports mean and se exact sample size provided 9.428571 6.000000 22 6 2.4050959 0.5692459 0.2972790 0.5692459 0.121363636 study reports mean and se exact sample size provided NA NA NA NA
NA NA SN KM Chronic exposure to environmentally realistic levels of diuron impacts the behaviour of adult marine medaka (Oryzias melastigma) 10.1016/j.aquatox.2021.105917 https://www.sciencedirect.com/science/article/pii/S0166445X21001764?via%3Dihub Aquatic Toxicology zhou_2021 zhou_2021_exp_003 zhou_2021_exp2_007 zhou_2021_exp_003_assay_003 zhou_2021_exp2_007_assay2_001 marine medaka Oryzias melastigma laboratory stock from not specified source not_wild mixed diuron analytical 330-54-1 in paper urea 500 ng/L 122 days DMSO solvent_used 28 celsius shoaling collective behaviour cluster score group arrangment NA NA fig5b zhou_2021_fig5b 9.428571 6.000000 22 6 2.5778057 1.6201614 0.8461017 1.6201614 0.34541958 study reports mean and se exact sample size provided 9.428571 6.000000 22 6 1.9289770 1.1822800 0.6174256 1.1822800 0.252062937 study reports mean and se exact sample size provided NA NA NA NA
NA NA SN KM Chronic exposure to environmentally realistic levels of diuron impacts the behaviour of adult marine medaka (Oryzias melastigma) 10.1016/j.aquatox.2021.105917 https://www.sciencedirect.com/science/article/pii/S0166445X21001764?via%3Dihub Aquatic Toxicology zhou_2021 zhou_2021_exp_004 zhou_2021_exp2_008 zhou_2021_exp_004_assay_003 zhou_2021_exp2_008_assay2_001 marine medaka Oryzias melastigma laboratory stock from not specified source not_wild mixed diuron analytical 330-54-1 in paper urea 5000 ng/L 122 days DMSO solvent_used 28 celsius shoaling collective behaviour cluster score group arrangment NA NA fig5b zhou_2021_fig5b 9.428571 6.000000 22 6 2.5778057 1.6201614 0.8461017 1.6201614 0.34541958 study reports mean and se exact sample size provided 9.428571 6.000000 22 6 1.5135400 1.0071274 0.5259551 1.0071274 0.21472028 study reports mean and se exact sample size provided NA NA NA NA
NA NA SN KM Chronic exposure to environmentally realistic levels of diuron impacts the behaviour of adult marine medaka (Oryzias melastigma) 10.1016/j.aquatox.2021.105917 https://www.sciencedirect.com/science/article/pii/S0166445X21001764?via%3Dihub Aquatic Toxicology zhou_2021 zhou_2021_exp_001 zhou_2021_exp2_009 zhou_2021_exp_001_assay_004 zhou_2021_exp2_009_assay2_001 marine medaka Oryzias melastigma laboratory stock from not specified source not_wild mixed diuron analytical 330-54-1 in paper urea 5 ng/L 130 days DMSO solvent_used 28 celsius social interaction sociality time spent on the side closest to the seperator time spent in social zone zone NA fig6b zhou_2021_fig6b NA NA NA 20 167.4650762 67.9064632 NA NA 15.18434677 study reports mean and se exact sample size provided NA NA NA 20 160.4884845 64.2358435 NA NA 14.36357127 study reports mean and se exact sample size provided NA NA NA NA
NA NA SN KM Chronic exposure to environmentally realistic levels of diuron impacts the behaviour of adult marine medaka (Oryzias melastigma) 10.1016/j.aquatox.2021.105917 https://www.sciencedirect.com/science/article/pii/S0166445X21001764?via%3Dihub Aquatic Toxicology zhou_2021 zhou_2021_exp_002 zhou_2021_exp2_010 zhou_2021_exp_002_assay_004 zhou_2021_exp2_010_assay2_001 marine medaka Oryzias melastigma laboratory stock from not specified source not_wild mixed diuron analytical 330-54-1 in paper urea 50 ng/L 130 days DMSO solvent_used 28 celsius social interaction sociality time spent on the side closest to the seperator time spent in social zone zone NA fig6b zhou_2021_fig6b NA NA NA 20 167.4650762 67.9064632 NA NA 15.18434677 study reports mean and se exact sample size provided NA NA NA 20 144.2781683 55.0592945 NA NA 12.31163252 study reports mean and se exact sample size provided NA NA NA NA
NA NA SN KM Chronic exposure to environmentally realistic levels of diuron impacts the behaviour of adult marine medaka (Oryzias melastigma) 10.1016/j.aquatox.2021.105917 https://www.sciencedirect.com/science/article/pii/S0166445X21001764?via%3Dihub Aquatic Toxicology zhou_2021 zhou_2021_exp_003 zhou_2021_exp2_011 zhou_2021_exp_003_assay_004 zhou_2021_exp2_011_assay2_001 marine medaka Oryzias melastigma laboratory stock from not specified source not_wild mixed diuron analytical 330-54-1 in paper urea 500 ng/L 130 days DMSO solvent_used 28 celsius social interaction sociality time spent on the side closest to the seperator time spent in social zone zone NA fig6b zhou_2021_fig6b NA NA NA 20 167.4650762 67.9064632 NA NA 15.18434677 study reports mean and se exact sample size provided NA NA NA 20 124.3743624 57.8122592 NA NA 12.92721415 study reports mean and se exact sample size provided NA NA NA NA
NA NA SN KM Chronic exposure to environmentally realistic levels of diuron impacts the behaviour of adult marine medaka (Oryzias melastigma) 10.1016/j.aquatox.2021.105917 https://www.sciencedirect.com/science/article/pii/S0166445X21001764?via%3Dihub Aquatic Toxicology zhou_2021 zhou_2021_exp_004 zhou_2021_exp2_012 zhou_2021_exp_004_assay_004 zhou_2021_exp2_012_assay2_001 marine medaka Oryzias melastigma laboratory stock from not specified source not_wild mixed diuron analytical 330-54-1 in paper urea 5000 ng/L 130 days DMSO solvent_used 28 celsius social interaction sociality time spent on the side closest to the seperator time spent in social zone zone NA fig6b zhou_2021_fig6b NA NA NA 20 167.4650762 67.9064632 NA NA 15.18434677 study reports mean and se exact sample size provided NA NA NA 20 165.0027497 87.1772162 NA NA 19.49341816 study reports mean and se exact sample size provided NA NA NA NA
NA NA SN KM Chronic exposure to environmentally realistic levels of diuron impacts the behaviour of adult marine medaka (Oryzias melastigma) 10.1016/j.aquatox.2021.105917 https://www.sciencedirect.com/science/article/pii/S0166445X21001764?via%3Dihub Aquatic Toxicology zhou_2021 zhou_2021_exp_001 zhou_2021_exp2_009 zhou_2021_exp_001_assay_005 zhou_2021_exp2_009_assay2_002 marine medaka Oryzias melastigma laboratory stock from not specified source not_wild mixed diuron analytical 330-54-1 in paper urea 5 ng/L 130 days DMSO solvent_used 28 celsius social interaction sociality interaction frequency frequency of social behaviour count NA fig6c zhou_2021_fig6c NA NA NA 20 28.5921715 5.5469371 NA NA 1.240332846 study reports mean and se exact sample size provided NA NA NA 20 39.0464055 12.1504337 NA NA 2.716919568 study reports mean and se exact sample size provided NA NA NA NA
NA NA SN KM Chronic exposure to environmentally realistic levels of diuron impacts the behaviour of adult marine medaka (Oryzias melastigma) 10.1016/j.aquatox.2021.105917 https://www.sciencedirect.com/science/article/pii/S0166445X21001764?via%3Dihub Aquatic Toxicology zhou_2021 zhou_2021_exp_002 zhou_2021_exp2_010 zhou_2021_exp_002_assay_005 zhou_2021_exp2_010_assay2_002 marine medaka Oryzias melastigma laboratory stock from not specified source not_wild mixed diuron analytical 330-54-1 in paper urea 50 ng/L 130 days DMSO solvent_used 28 celsius social interaction sociality interaction frequency frequency of social behaviour count NA fig6c zhou_2021_fig6c NA NA NA 20 28.5921715 5.5469371 NA NA 1.240332846 study reports mean and se exact sample size provided NA NA NA 20 40.5229923 13.9994127 NA NA 3.13036385 study reports mean and se exact sample size provided NA NA NA NA
NA NA SN KM Chronic exposure to environmentally realistic levels of diuron impacts the behaviour of adult marine medaka (Oryzias melastigma) 10.1016/j.aquatox.2021.105917 https://www.sciencedirect.com/science/article/pii/S0166445X21001764?via%3Dihub Aquatic Toxicology zhou_2021 zhou_2021_exp_003 zhou_2021_exp2_011 zhou_2021_exp_003_assay_005 zhou_2021_exp2_011_assay2_002 marine medaka Oryzias melastigma laboratory stock from not specified source not_wild mixed diuron analytical 330-54-1 in paper urea 500 ng/L 130 days DMSO solvent_used 28 celsius social interaction sociality interaction frequency frequency of social behaviour count NA fig6c zhou_2021_fig6c NA NA NA 20 28.5921715 5.5469371 NA NA 1.240332846 study reports mean and se exact sample size provided NA NA NA 20 33.3172491 10.8297344 NA NA 2.421602224 study reports mean and se exact sample size provided NA NA NA NA
NA NA SN KM Chronic exposure to environmentally realistic levels of diuron impacts the behaviour of adult marine medaka (Oryzias melastigma) 10.1016/j.aquatox.2021.105917 https://www.sciencedirect.com/science/article/pii/S0166445X21001764?via%3Dihub Aquatic Toxicology zhou_2021 zhou_2021_exp_004 zhou_2021_exp2_012 zhou_2021_exp_004_assay_005 zhou_2021_exp2_012_assay2_002 marine medaka Oryzias melastigma laboratory stock from not specified source not_wild mixed diuron analytical 330-54-1 in paper urea 5000 ng/L 130 days DMSO solvent_used 28 celsius social interaction sociality interaction frequency frequency of social behaviour count NA fig6c zhou_2021_fig6c NA NA NA 20 28.5921715 5.5469371 NA NA 1.240332846 study reports mean and se exact sample size provided NA NA NA 20 30.4231391 10.3014546 NA NA 2.303475286 study reports mean and se exact sample size provided NA NA NA NA
# Summary of the data set
kable(summary(data), "html") %>%
    kable_styling("bordered", position = "left") %>%
    scroll_box(width = "250%", height = "500px")
comment_checker comment_extractor initials_checker initials_extractor title doi url journal study_id exp_id exp2_id assay_id assay2_id species_english species_latin source source2 sex pesticide pesticide_grade cas_id cas_id_comment pesticide_chemical_class dosage dosage_unit duration duration_unit control_solvent solvent2 temperature temperature_unit behaviour_measured behaviour_measured_standardised behaviour_assay behavioural_assay_standardised behavioural_assay_standardised2 effect_direction data_source data_file control_effective_n control_shoal_n control_fish_n control_n control_mean control_sd control_shoal_sd control_fish_sd control_se statistics_comment_control sample_size_comment_control treatment_effective_n treatment_shoal_n treatment_fish_n treatment_n treatment_mean treatment_sd treatment_shoal_sd treatment_fish_sd treatment_se statistics_comment_treatment sample_size_comment_treatment contact_author contacted_date contact_response contact_comments
Length:461 Mode:logical Length:461 Length:461 Length:461 Length:461 Length:461 Length:461 Length:461 Length:461 Length:461 Length:461 Length:461 Length:461 Length:461 Length:461 Length:461 Length:461 Length:461 Length:461 Length:461 Length:461 Length:461 Length:461 Length:461 Length:461 Length:461 Length:461 Length:461 Length:461 Length:461 Length:461 Length:461 Length:461 Length:461 Length:461 Length:461 Length:461 Length:461 Min. : 1.600 Min. : 1.00 Min. : 4.00 Min. : 2.00 Min. : -0.20 Min. : 0.0228 Min. : 0.0359 Min. : 0.1016 Length:461 Length:461 Length:461 Min. : 1.600 Min. : 1.000 Min. : 4.00 Min. : 2.00 Min. : 0.11 Min. : 0.0185 Min. : 0.0199 Min. : 0.0563 Length:461 Length:461 Length:461 Mode:logical Mode:logical Mode:logical Mode:logical
Class :character NA’s:461 Class :character Class :character Class :character Class :character Class :character Class :character Class :character Class :character Class :character Class :character Class :character Class :character Class :character Class :character Class :character Class :character Class :character Class :character Class :character Class :character Class :character Class :character Class :character Class :character Class :character Class :character Class :character Class :character Class :character Class :character Class :character Class :character Class :character Class :character Class :character Class :character Class :character 1st Qu.: 1.714 1st Qu.: 1.00 1st Qu.: 6.00 1st Qu.:15.00 1st Qu.: 6.31 1st Qu.: 2.6437 1st Qu.: 0.4760 1st Qu.: 0.9800 Class :character Class :character Class :character 1st Qu.: 1.714 1st Qu.: 1.000 1st Qu.: 6.00 1st Qu.:14.00 1st Qu.: 6.24 1st Qu.: 2.6824 1st Qu.: 0.3770 1st Qu.: 0.8731 Class :character Class :character Class :character NA’s:461 NA’s:461 NA’s:461 NA’s:461
Mode :character NA Mode :character Mode :character Mode :character Mode :character Mode :character Mode :character Mode :character Mode :character Mode :character Mode :character Mode :character Mode :character Mode :character Mode :character Mode :character Mode :character Mode :character Mode :character Mode :character Mode :character Mode :character Mode :character Mode :character Mode :character Mode :character Mode :character Mode :character Mode :character Mode :character Mode :character Mode :character Mode :character Mode :character Mode :character Mode :character Mode :character Mode :character Median : 9.500 Median : 6.00 Median :19.00 Median :18.00 Median : 30.86 Median : 25.2242 Median : 1.5793 Median : 3.3584 Mode :character Mode :character Mode :character Median : 8.500 Median : 6.000 Median : 23.00 Median :18.00 Median : 40.89 Median : 24.9424 Median : 1.0233 Median : 2.0768 Mode :character Mode :character Mode :character NA NA NA NA
NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA Mean : 9.084 Mean : 18.35 Mean :17.84 Mean :20.35 Mean : 138.09 Mean : 43.0893 Mean : 16.0316 Mean : 40.7438 NA NA NA Mean : 8.036 Mean : 5.523 Mean : 29.89 Mean :20.08 Mean : 130.37 Mean : 47.4361 Mean : 11.6351 Mean : 32.4113 NA NA NA NA NA NA NA
NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA 3rd Qu.:15.000 3rd Qu.: 10.00 3rd Qu.:24.00 3rd Qu.:24.00 3rd Qu.: 144.69 3rd Qu.: 59.2010 3rd Qu.: 3.2719 3rd Qu.: 6.2733 NA NA NA 3rd Qu.:10.750 3rd Qu.: 8.000 3rd Qu.: 30.00 3rd Qu.:24.00 3rd Qu.: 137.55 3rd Qu.: 55.8427 3rd Qu.: 3.1970 3rd Qu.: 6.8992 NA NA NA NA NA NA NA
NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA Max. :23.000 Max. :128.00 Max. :46.00 Max. :72.00 Max. :2013.65 Max. :535.6481 Max. :309.2566 Max. :1014.5103 NA NA NA Max. :23.500 Max. :15.667 Max. :128.00 Max. :72.00 Max. :1847.54 Max. :991.3481 Max. :358.3868 Max. :1433.5471 NA NA NA NA NA NA NA
NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA’s :366 NA’s :366 NA’s :366 NA’s :4 NA NA’s :18 NA’s :366 NA’s :366 NA NA NA NA’s :366 NA’s :366 NA’s :366 NA’s :8 NA NA’s :18 NA’s :366 NA’s :366 NA NA NA NA NA NA NA

Data exploration and reporting of methodological items

Figure 1B & 1C

  1. A bubble plot showing the number of effect sizes of each pesticide class per conspecific interaction behaviour described
  2. A bar chart showing the total number of effect sizes per species
# Summarize data by grouping on pesticide chemical class and behavior measured,
# then count entries.
pc_cb_summary <- data %>%
    group_by(pesticide_chemical_class, behaviour_measured_standardised) %>%
    summarise(n = n(), .groups = "drop")

# Determine the top 9 pesticide classes based on the number of records.
top_pesticide_class <- pc_cb_summary %>%
    group_by(pesticide_chemical_class) %>%
    summarise(total_count = sum(n)) %>%
    top_n(9, total_count) %>%
    pull(pesticide_chemical_class)

# Adjust category names to 'Other pesticide classes' for those pesticide
# classes not in the top 9
pc_cb_summary_filtered <- pc_cb_summary %>%
    mutate(pesticide_chemical_class = ifelse(pesticide_chemical_class %in% top_pesticide_class,
        pesticide_chemical_class, "Other Pesticide Classes")) %>%
    group_by(pesticide_chemical_class, behaviour_measured_standardised) %>%
    summarise(n = sum(n), .groups = "drop")

# Create the bubble plot
behaviour_pesticide_class_bubble_plot <- pc_cb_summary_filtered %>%
    ggplot(aes(x = fct_rev(fct_reorder(str_wrap(str_to_title(behaviour_measured_standardised),
        width = 15), n, .fun = "sum")), y = fct_reorder(str_to_title(pesticide_chemical_class),
        n, .fun = "sum"), size = n)) + geom_point(alpha = 0.5, color = RColorBrewer::brewer.pal(n = 8,
    name = "Dark2")[3]) + scale_size_continuous(range = c(5, 20)) + theme_bw() +
    guides(size = "none") + theme(legend.position = "none", axis.text = element_text(size = 12,
    color = "black"), axis.title = element_text(size = 12, face = "bold", color = "black"),
    plot.caption = element_text(size = 12, color = "gray10", face = "italic")) +
    geom_text(aes(label = as.character(n)), size = 5, color = "gray10") + labs(caption = "The value in each cell is the total number of effect sizes",
    x = "Behaviour Measured", y = "Pesticide Chemical Class", tag = "B")

# Group data by species, count entries, and drop groups post-summary.
sp_summary <- data %>%
    group_by(species_english) %>%
    summarise(n = n(), .groups = "drop")

# Calculate proportion and percentage of total counts for each species.
species_pct <- sp_summary %>%
    mutate(proportion = n/sum(n), percentage = proportion * 100)

# Create the bar plot
species_effect_size_count_bar_plot <- sp_summary %>%
    ggplot(aes(x = n, y = reorder(str_to_title(species_english), n))) + geom_bar(stat = "identity",
    width = 0.8, alpha = 0.5, fill = RColorBrewer::brewer.pal(n = 8, name = "Dark2")[2]) +
    geom_text(aes(label = ifelse(n < 9, "", n), x = n/2, y = reorder(str_to_title(species_english),
        n)), hjust = 0.5, size = 5, color = "black") + geom_text(data = species_pct,
    aes(label = paste0("(", round(percentage, 1), "%)"), x = n), hjust = -0.1, size = 6,
    color = "black", fontface = "bold") + scale_x_continuous(expand = c(0, 0), limits = c(0,
    max(sp_summary$n) * 1.2)) + theme_bw() + guides(size = "none") + theme(legend.position = "none",
    axis.text = element_text(size = 12, color = "black"), axis.title = element_text(size = 12,
        face = "bold", color = "black"), plot.caption = element_text(size = 12, color = "gray10",
        face = "italic")) + labs(caption = "The value in each bar is the total number of effect sizes",
    x = "Total number of effect size estimates", y = "Species", tag = "C")

# Combine both plots into a single figure.
main_text_figure_1 <- behaviour_pesticide_class_bubble_plot/species_effect_size_count_bar_plot

print(main_text_figure_1)

ggsave(here("figures", "main_text_figure_1.pdf"), width = 10, height = 13, units = "cm",
    scale = 2, dpi = 800)
ggsave(here("figures", "main_text_figure_1.jpg"), width = 10, height = 13, units = "cm",
    scale = 2, dpi = 800)

Figure s2

A bubble plot showing the number of effect sizes of each species per conspecific interaction behaviour described

# Group data by species, count entries, and drop groups post-summary.
species_summary <- data %>%
  group_by(species_english, behaviour_measured_standardised) %>%
  summarise(
    n = n(),
    pesticide_chemical_class = first(pesticide_chemical_class),
    .groups = "drop"
  )

# Determine the top 20 species based on the number of records.
top_species <- species_summary %>%
  group_by(species_english, behaviour_measured_standardised) %>%
  summarise(total_count = sum(n), .groups = "drop") %>%
  top_n(20, total_count) %>%
  pull(species_english)

# Adjust category names to 'Other' for all but the top species, then re-summarize.
# species_summary_filtered <- species_summary %>%
#   mutate(species_english = ifelse(species_english %in% top_species,
#                                   species_english,
#                                   "Other Species")) %>%
#   group_by(species_english, behaviour_measured_standardised) %>%
#   summarise(n = sum(n), .groups = "drop")

# Create the bubble plot the behaviours assessed per species (number of effect size as count)

behaviour_species_bubble_plot <- species_summary %>% # can add _filtered if needed
  ggplot(aes(x = fct_rev(fct_reorder(str_to_title(behaviour_measured_standardised), n, .fun = 'sum')),
             y = fct_reorder(str_to_title(species_english), n, .fun = 'sum'),
             size = n)) +
  geom_point(alpha = 0.5, color = RColorBrewer::brewer.pal(n = 8, name = "Dark2")[2]) +
  scale_size_continuous(range = c(8, 25)) +
  theme_bw() +
  guides(size = "none") +
theme(legend.position = "none",
        axis.text = element_text(color = "black"),
        axis.title = element_text(face = "bold", color = "black"),
        plot.caption = element_text(size = 10, color = "gray10", face = "italic")) + 
  geom_text(aes(label = as.character(n)), size = 4, color = "gray10") +
  labs(caption = "The value in each cell is the number of effect sizes",
       x = "Behaviour Measured",
       y = "Species") +
  scale_color_brewer(palette = "Dark2", name = "Chemical Class")

print(behaviour_species_bubble_plot)

# ggsave(here("figures", "behaviour_species_bubble_plot.pdf"), width = 8, height = 6, units = "cm", scale = 2, dpi = 800)
# ggsave(here("figures", "behaviour_species_bubble_plot.jpg"), width = 8, height = 6, units = "cm", scale = 2, dpi = 800)

Figure s3

A bar chart showing the sex of fish used in the literature

# Group data by 'sex of fish' and count entries, then drop grouping for further
# analysis.
sex_summary <- data %>%
    group_by(sex) %>%
    summarise(n = n(), .groups = "drop")

# Calculate proportions and percentages of total studies for each sex.
sex_pct <- sex_summary %>%
    mutate(proportion = n/sum(n), percentage = proportion * 100)

# Create a bar plot visualizing the number of studies per sex, with annotations
# for counts and percentages.
fish_sex_study_count_bar_plot <- sex_summary %>%
    ggplot(aes(x = n, y = reorder(str_to_title(sex), n))) + geom_bar(stat = "identity",
    width = 0.8, alpha = 0.5, fill = RColorBrewer::brewer.pal(n = 8, name = "Dark2")[2]) +
    geom_text(aes(label = n, x = n/2, y = reorder(str_to_title(sex), n)), hjust = 0.5,
        size = 4, color = "black") + geom_text(data = sex_pct, aes(label = paste0("(",
    round(percentage, 1), "%)"), x = n), hjust = -0.1, size = 4, color = "black",
    fontface = "bold") + scale_x_continuous(expand = c(0, 0), limits = c(0, max(sex_summary$n) *
    1.2)) + theme_bw() + guides(size = "none") + theme(legend.position = "none",
    axis.text = element_text(color = "black"), axis.title = element_text(face = "bold",
        color = "black"), plot.caption = element_text(size = 10, color = "gray10",
        face = "italic")) + labs(caption = "The value in each bar is the total number of studies",
    x = "Total number of effect sizes", y = "Sex of fish")

print(fish_sex_study_count_bar_plot)

# ggsave(here('figures', 'fish_sex_study_count_bar_plot.pdf'), width = 10,
# height = 5, units = 'cm', scale = 2, dpi = 800) ggsave(here('figures',
# 'fish_sex_study_count_bar_plot.jpg'), width = 10, height = 5, units = 'cm',
# scale = 2, dpi = 800)

Figure s4

A bar chart showing the reporting of the source of fish used in the literature

# Extracts unique records from the dataset based on 'study_id', retaining all other associated data.
data_study <- data %>%
  distinct(study_id, .keep_all = TRUE) 

# Groups the filtered data by 'source of fish' and counts the number of studies per source, removing grouping afterwards.
source_summary <- data %>% 
  group_by(source) %>% 
  summarise(n = n(), .groups = "drop")

# Calculates the proportion and percentage of total studies for each source of fish.
source_pct <- source_summary %>% 
  mutate(proportion = n / sum(n),  # number of studies
         percentage = proportion * 100)

# Create the bar plot for the source of fish study count
fish_source_study_count_bar_plot <- source_summary %>%
  ggplot(aes(x = n, y = reorder(str_to_title(source), n))) + 
  geom_bar(stat = "identity", width = 0.8, alpha = 0.5, fill = RColorBrewer::brewer.pal(n = 8, name = "Dark2")[1]) +
  geom_text(aes(label = n, x = n / 2, y = reorder(str_to_title(source), n)), hjust = 0.5, size = 4, color = "black") +
  geom_text(data = source_pct, aes(label = paste0("(", round(percentage, 1), "%)"), x = n), 
            hjust = -0.1, size = 4, color = "black", fontface = "bold") +
  scale_x_continuous(expand = c(0, 0), limits = c(0, max(source_summary$n) * 1.2)) +
  theme_bw() +
  guides(size = "none") +
  theme(legend.position = "none",
        axis.text = element_text(color = "black"),
        axis.title = element_text(face = "bold", color = "black"),
        plot.caption = element_text(size = 10, color = "gray10", face = "italic")) +
  labs(caption = "The value in each bar is the total number of studies",
       x = "Total number of studies",
       y = "Source of fish") 

print(fish_source_study_count_bar_plot)

# ggsave(here("figures", "fish_source_study_count_bar_plot.pdf"), width = 10, height = 5, units = "cm", scale = 2, dpi = 800)
# ggsave(here("figures", "fish_source_study_count_bar_plot.jpg"), width = 10, height = 5, units = "cm", scale = 2, dpi = 800)

Figure s5

A bubble plot showing the number of effect sizes of each pesticide per conspecific interaction behaviour described

# Group data by species, count entries, and drop groups post-summary.
p_cb_summary <- data %>%
  group_by(pesticide, behaviour_measured_standardised) %>%
  summarise(
    n = n(),
    pesticide_chemical_class = first(pesticide_chemical_class),
    .groups = "drop"
  )
# Determine the top 8 pesticide classes based on the number of records.
top_pesticides <- p_cb_summary %>%
  group_by(pesticide, behaviour_measured_standardised) %>%
  summarise(total_count = sum(n), .groups = "drop") %>%
  top_n(20, total_count) %>%
  pull(pesticide)

# Adjust category names to 'Other Pesticides' for all but the top pesticide, then re-summarize.
# p_cb_summary_filtered <- p_cb_summary %>%
# mutate(pesticide = ifelse(pesticide %in% top_pesticides,
#                                          pesticide,
#                                          "Other Pesticides")) %>%
#  group_by(pesticide, behaviour_measured_standardised) %>%
#  summarise(n = sum(n), .groups = "drop")


# Create the bubble plot for the behaviours assessed per pesticide (effect size as count)

behaviour_pesticide_bubble_plot <- p_cb_summary %>% # can add _filtered if needed
   ggplot(aes(x = fct_rev(fct_reorder(str_to_title(behaviour_measured_standardised), n, .fun = 'sum')),
             y = fct_reorder(str_to_title(pesticide), n, .fun = 'sum'),
             size = n)) +
  geom_point(alpha = 0.5, color = RColorBrewer::brewer.pal(n = 8, name = "Dark2")[5]) +
  scale_size_continuous(range = c(4, 20)) +
  theme_bw() +
  guides(size = "none") +
theme(legend.position = "none",
        axis.text = element_text(color = "black"),
        axis.title = element_text(face = "bold", color = "black"),
        plot.caption = element_text(size = 10, color = "gray10", face = "italic")) +
  geom_text(aes(label = as.character(n)), size = 4, color = "gray10") +
  labs(caption = "The value in each cell is the number of effect sizes",
       x = "Behaviour Measured",
       y = "Pesticide Chemical Class") +
      scale_y_discrete(labels = function(x) ifelse(x %in% c("Ddt", "Dca", "Dcpmu"), toupper(x), x))

print(behaviour_pesticide_bubble_plot)

# ggsave(here("figures", "behaviour_pesticide_bubble_plot.pdf"), width = 8, height = 12, units = "cm", scale = 2, dpi = 800)
# ggsave(here("figures", "behaviour_pesticide_bubble_plot.jpg"), width = 8, height = 12, units = "cm", scale = 2, dpi = 800)

Figure s6

A box and violin plot showing the distribution of pesticide dosages used in the literature

# making dosages consistent for dosage comparisons
data_dosage <- data %>%
    filter(dosage != "not reported") %>%
    filter(dosage_unit != "not reported") %>%
    filter(!dosage_unit %in% c("nm", "um", "nM")) %>%
    mutate(dosage = as.numeric(dosage), dosage_unit = as.character(dosage_unit),
        dosage_unit_consistent = case_when(dosage_unit == "mg/L" ~ "ug/L", dosage_unit ==
            "ng/L" ~ "ug/L", dosage_unit == "g/L" ~ "ug/L", dosage_unit == "ppb" ~
            "ug/L", dosage_unit == "ppm" ~ "ug/L", TRUE ~ dosage_unit), dosage_convert_ugL = case_when(dosage_unit ==
            "mg/L" ~ dosage * 1000, dosage_unit == "ng/L" ~ dosage/1000, dosage_unit ==
            "g/L" ~ dosage/1e+06, dosage_unit == "ppm" ~ dosage * 1000, TRUE ~ dosage))

# Summary table for the dosage converted
summary_data_dosage <- summary(data_dosage$dosage_convert_ugL)

# Filter the data for dosage_convert_ugL less than 5000
filtered_data_dosage <- data_dosage %>%
    filter(dosage_convert_ugL < 3000)

# Create the violin plot
pesticide_dosage_violin_plot <- ggplot(filtered_data_dosage, aes(y = dosage_unit_consistent,
    x = dosage_convert_ugL)) + geom_violin(fill = RColorBrewer::brewer.pal(n = 8,
    name = "Set2")[1], alpha = 0.4, color = NA, trim = FALSE) + geom_boxplot(width = 0.1,
    fill = "white", color = RColorBrewer::brewer.pal(n = 8, name = "Set2")[2], outlier.shape = NA) +
    geom_jitter(width = 0.3, height = 0.09, color = RColorBrewer::brewer.pal(n = 8,
        name = "Set2")[1], alpha = 0.8) + theme_bw() + theme(legend.position = "none",
    plot.title = element_text(face = "bold", hjust = 0.5), axis.title.x = element_blank(),
    axis.title.y = element_text(face = "bold"), axis.text.x = element_text(color = "black"),
    axis.text.y = element_blank(), axis.ticks = element_line(color = "black"), plot.caption = element_text(size = 10,
        color = "gray10", face = "italic")) + labs(caption = "Plot filtered for less than 3000 ug/L\nMedian = 12, 1st Quartile = 1, 3rd Quartile = 500",
    y = "Dosage Unit [ug/L]")

print(pesticide_dosage_violin_plot)

# ggsave(here('figures', 'pesticide_dosage_violin_plot.pdf'), plot =
# pesticide_dosage_violin_plot, width = 10, height = 5, units = 'cm', scale =
# 2, dpi = 800) ggsave(here('figures', 'pesticide_dosage_violin_plot.jpg'),
# plot = pesticide_dosage_violin_plot, width = 10, height = 5, units = 'cm',
# scale = 2, dpi = 800)

Figure s7

A box and violin plot the distribution of durations of pesticide exposure

# making durations consistent for duration comparisons
data_duration <- data %>%
    filter(!is.na(duration), duration != "not reported") %>%
    mutate(duration = as.numeric(duration), duration_unit = as.character(duration_unit),
        duration_unit_consistent = case_when(duration_unit == "minutes" ~ "hours",
            duration_unit == "days" ~ "hours", duration_unit == "weeks" ~ "hours",
            TRUE ~ duration_unit), duration_convert = case_when(duration_unit ==
            "minutes" ~ duration/60, duration_unit == "days" ~ duration * 24, duration_unit ==
            "weeks" ~ duration * 168, TRUE ~ duration))

summary(data_duration$duration_convert)
##    Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
##     2.0    96.0   336.0   651.6   960.0  3120.0
# Create the violin plot
pesticide_duration_violin_plot <- ggplot(data_duration, aes(y = duration_unit_consistent,
    x = duration_convert)) + geom_violin(fill = RColorBrewer::brewer.pal(n = 8, name = "Set2")[1],
    alpha = 0.4, color = NA, trim = FALSE) + geom_boxplot(width = 0.1, fill = "white",
    color = RColorBrewer::brewer.pal(n = 8, name = "Set2")[2], outlier.shape = NA) +
    geom_jitter(width = 0.3, height = 0.09, color = RColorBrewer::brewer.pal(n = 8,
        name = "Set2")[1], alpha = 0.8) + theme_bw() + theme(legend.position = "none",
    plot.title = element_text(face = "bold", hjust = 0.5), axis.title.x = element_blank(),
    axis.title.y = element_text(face = "bold"), axis.text.x = element_text(color = "black"),
    axis.text.y = element_blank(), axis.ticks = element_line(color = "black"), plot.caption = element_text(size = 10,
        color = "gray10", face = "italic")) + labs(caption = "Median = 336, 1st Quartile = 96, 3rd Quartile = 960",
    y = "Duration [hours]")

print(pesticide_duration_violin_plot)

# ggsave(here('figures', 'pesticide_duration_violin_plot.pdf'), plot =
# pesticide_duration_violin_plot, width = 10, height = 5, units = 'cm', scale =
# 2, dpi = 800) ggsave(here('figures', 'pesticide_duration_violin_plot.jpg'),
# plot = pesticide_duration_violin_plot, width = 10, height = 5, units = 'cm',
# scale = 2, dpi = 800)

Figure s8

A bar plot showing the control solvents used in the literature

# Group data by 'control solvent' and count entries, then drop the group
# structure for further analysis.
solvent_summary <- data %>%
    group_by(control_solvent) %>%
    summarise(n = n(), .groups = "drop")

# Calculate the proportion and percentage of total studies for each control
# solvent.
solvent_pct <- solvent_summary %>%
    mutate(proportion = n/sum(n), percentage = proportion * 100)

# Create a bar plot visualizing the number of studies per control solvent,
# annotated with counts and percentages.
control_solvent_study_count_bar_plot <- solvent_summary %>%
    ggplot(aes(x = n, y = reorder(str_to_title(control_solvent), n))) + geom_bar(stat = "identity",
    width = 0.8, alpha = 0.5, fill = RColorBrewer::brewer.pal(n = 8, name = "Dark2")[3]) +
    geom_text(aes(label = n, x = n/2, y = reorder(str_to_title(control_solvent),
        n)), hjust = 0.5, size = 4, color = "black") + geom_text(data = solvent_pct,
    aes(label = paste0("(", round(percentage, 1), "%)"), x = n), hjust = -0.1, size = 4,
    color = "black", fontface = "bold") + scale_x_continuous(expand = c(0, 0), limits = c(0,
    max(solvent_summary$n) * 1.3)) + theme_bw() + guides(size = "none") + theme(legend.position = "none",
    axis.text = element_text(color = "black"), axis.title = element_text(face = "bold",
        color = "black"), plot.caption = element_text(size = 10, color = "gray10",
        face = "italic")) + labs(caption = "The value in each bar is the total number of studies",
    x = "Total number of studies", y = "Control Solvent") + scale_y_discrete(labels = function(x) ifelse(x ==
    "Dmso", toupper(x), ifelse(x == "Dtnb", toupper(x), x)))

print(control_solvent_study_count_bar_plot)

# ggsave(here('figures', 'control_solvent_study_count_bar_plot.pdf'), width =
# 10, height = 5, units = 'cm', scale = 2, dpi = 800) ggsave(here('figures',
# 'control_solvent_study_count_bar_plot.jpg'), width = 10, height = 5, units =
# 'cm', scale = 2, dpi = 800)

Figure s9

A bar plot showing the behavioural assays used to quantify sociality in the literature

# Filter data for entries containing 'sociality' in
# behaviour_measure_standardised
sociality_data <- data %>%
    filter(grepl("sociality", behaviour_measured_standardised, ignore.case = TRUE))

# Group data by behavioural_assay_standardized and count occurrences
sociality_assay_summary <- sociality_data %>%
    group_by(behavioural_assay_standardised) %>%
    summarise(n = n(), .groups = "drop")

# Calculate proportion of effect sizes for each control solvent
sociality_assay_pct <- sociality_assay_summary %>%
    mutate(proportion = n/sum(n), percentage = proportion * 100)

# Create a bar plot visualizing the number of studies quantifying pesticide
# impacts on aggression
sociality_assay_effect_size_count_bar_plot <- sociality_assay_summary %>%
    ggplot(aes(x = n, y = reorder(str_to_title(behavioural_assay_standardised), n))) +
    geom_bar(stat = "identity", width = 0.8, alpha = 0.5, fill = RColorBrewer::brewer.pal(n = 8,
        name = "Dark2")[5]) + geom_text(aes(label = ifelse(n < 0, "", n), x = n/2,
    y = reorder(str_to_title(behavioural_assay_standardised), n)), hjust = 0.5, size = 4,
    color = "black") + geom_text(data = sociality_assay_pct, aes(label = paste0("(",
    round(percentage, 1), "%)"), x = n), hjust = -0.1, size = 4, color = "black",
    fontface = "bold") + scale_x_continuous(expand = c(0, 0), limits = c(0, max(sociality_assay_summary$n) *
    1.3)) + theme_bw() + guides(size = "none") + theme(legend.position = "none",
    axis.text = element_text(color = "black"), axis.title = element_text(face = "bold",
        color = "black"), plot.caption = element_text(size = 10, color = "gray10",
        face = "italic")) + labs(caption = "The value in each bar is the total number of effect sizes",
    x = "Total Number of Effect Sizes", y = "Sociality Assay")

print(sociality_assay_effect_size_count_bar_plot)

# ggsave(here('figures', 'sociality_assay_effect_size_count_bar_plot.pdf'),
# width = 10, height = 5, units = 'cm', scale = 2, dpi = 800)
# ggsave(here('figures', 'sociality_assay_effect_size_count_bar_plot.jpg'),
# width = 10, height = 5, units = 'cm', scale = 2, dpi = 800)

Figure s10

A bar plot showing the behavioural assays used to quantify aggression in the literature

# Filter data for entries containing 'aggression' in
# behaviour_measure_standardised
aggression_data <- data %>%
    filter(grepl("aggression", behaviour_measured_standardised, ignore.case = TRUE))

# Group data by behavioural_assay_standardised and count occurrences
aggression_assay_summary <- aggression_data %>%
    group_by(behavioural_assay_standardised) %>%
    summarise(n = n(), .groups = "drop")

# Calculate proportion of effect sizes for each behavioural assay
aggression_assay_pct <- aggression_assay_summary %>%
    mutate(proportion = n/sum(n), percentage = proportion * 100)

# Create a bar plot visualizing the number of studies quantifying pesticide
# impacts on aggression, annotated with counts and percentages.
aggression_assay_effect_size_count_bar_plot <- aggression_assay_summary %>%
    ggplot(aes(x = n, y = reorder(str_to_title(behavioural_assay_standardised), n))) +
    geom_bar(stat = "identity", width = 0.8, alpha = 0.5, fill = RColorBrewer::brewer.pal(n = 8,
        name = "Dark2")[6]) + geom_text(aes(label = ifelse(n < 0, "", n), x = n/2,
    y = reorder(str_to_title(behavioural_assay_standardised), n)), hjust = 0.5, size = 4,
    color = "black") + geom_text(data = aggression_assay_pct, aes(label = paste0("(",
    round(percentage, 1), "%)"), x = n), hjust = -0.1, size = 4, color = "black",
    fontface = "bold") + scale_x_continuous(expand = c(0, 0), limits = c(0, max(aggression_assay_summary$n) *
    1.3)) + theme_bw() + guides(size = "none") + theme(legend.position = "none",
    axis.text = element_text(color = "black"), axis.title = element_text(face = "bold",
        color = "black"), plot.caption = element_text(size = 10, color = "gray10",
        face = "italic")) + labs(caption = "The value in each bar is the total number of effect sizes",
    x = "Total Number of Effect Sizes", y = "Aggression Assay")

print(aggression_assay_effect_size_count_bar_plot)

# ggsave(here('figures', 'aggression_assay_effect_size_count_bar_plot.pdf'),
# width = 10, height = 5, units = 'cm', scale = 2, dpi = 800)
# ggsave(here('figures', 'aggression_assay_effect_size_count_bar_plot.jpg'),
# width = 10, height = 5, units = 'cm', scale = 2, dpi = 800)

Figure s11

A bar plot showing the behavioural assays used to quantify courtship in the literature

# Filter data for entries containing "courtship" in behaviour_measure_standardised
courtship_data <- data %>% 
  filter(grepl("courtship", behaviour_measured_standardised, ignore.case = TRUE))

# Group data by behavioural_assay_standardised and count occurrences
courtship_assay_summary <- courtship_data %>% 
  group_by(behavioural_assay_standardised) %>%
  summarise(n = n(), .groups = "drop")

# Calculate proportion of effect sizes for each behavioural assay
courtship_assay_pct <- courtship_assay_summary %>% 
  mutate(proportion = n / sum(n), # Adjust total number of observations
         percentage = proportion * 100)

# Create a bar plot visualizing the number of studies quantifying pesticide impacts on courtship, annotated with counts and percentages.
courtship_assay_effect_size_count_bar_plot <- courtship_assay_summary %>%
  ggplot(aes(x = n, y = reorder(str_to_title(behavioural_assay_standardised), n))) +
  geom_bar(stat = "identity", width = 0.8, alpha = 0.5, fill = RColorBrewer::brewer.pal(n = 8, name = "Dark2")[7]) +
  geom_text(aes(label = ifelse(n < 0, "", n), x = n / 2, y = reorder(str_to_title(behavioural_assay_standardised), n)), 
            hjust = 0.5, size = 4, color = "black") +
  geom_text(data = courtship_assay_pct, aes(label = paste0("(", round(percentage, 1), "%)"), x = n),
            hjust = -0.1, size = 4, color = "black", fontface = "bold") +
  scale_x_continuous(expand = c(0, 0), limits = c(0, max(courtship_assay_summary$n) * 1.3)) +
  theme_bw() +
  guides(size = "none") +
  theme(legend.position = "none",
        axis.text = element_text(color = "black"),
        axis.title = element_text(face = "bold", color = "black"),
        plot.caption = element_text(size = 10, color = "gray10", face = "italic")) +
  labs(caption = "The value in each bar is the total number of effect sizes",
       x = "Total Number of Effect Sizes",
       y = "Courtship Assay")

print(courtship_assay_effect_size_count_bar_plot)

# ggsave(here("figures", "courtship_assay_effect_size_count_bar_plot.pdf"), width = 10, height = 5, units = "cm", scale = 2, dpi = 800)
# ggsave(here("figures", "courtship_assay_effect_size_count_bar_plot.jpg"), width = 10, height = 5, units = "cm", scale = 2, dpi = 800)

Figure s12

A bar plot showing the behavioural assays used to quantify collective behaviour (i.e., behaviours measure at collective level) in the literature

# Filter data for entries containing "collective behaviour" in behaviour_measure_standardised
collective_behaviour_data <- data %>% 
  filter(grepl("collective behaviour", behaviour_measured_standardised, ignore.case = TRUE))

# Group data by behavioural_assay_standardised and count occurrences
collective_behaviour_assay_summary <- collective_behaviour_data %>% 
  group_by(behavioural_assay_standardised) %>%
  summarise(n = n(), .groups = "drop")

# Calculate proportion of effect sizes for each behavioural assay
collective_behaviour_assay_pct <- collective_behaviour_assay_summary %>% 
  mutate(proportion = n / sum(n), # Adjust total number of observations
         percentage = proportion * 100)

# Create a bar plot visualizing the number of studies quantifying pesticide impacts on collective behaviour, annotated with counts and percentages.
collective_behaviour_assay_effect_size_count_bar_plot <- collective_behaviour_assay_summary %>%
  ggplot(aes(x = n, y = reorder(str_to_sentence(behavioural_assay_standardised), n))) +
  geom_bar(stat = "identity", width = 0.8, alpha = 0.5, fill = RColorBrewer::brewer.pal(n = 8, name = "Dark2")[8]) +
  geom_text(aes(label = ifelse(n < 9, "", n), x = n / 2, y = reorder(str_to_sentence(behavioural_assay_standardised), n)), 
            hjust = 0.5, size = 4, color = "black") +
  geom_text(data = collective_behaviour_assay_pct, aes(label = paste0("(", round(percentage, 1), "%)"), x = n),
            hjust = -0.1, size = 4, color = "black", fontface = "bold") +
  scale_x_continuous(expand = c(0, 0), limits = c(0, max(collective_behaviour_assay_summary$n) * 1.3)) +
  theme_bw() +
  guides(size = "none") +
  theme(legend.position = "none",
        axis.text = element_text(color = "black"),
        axis.title = element_text(face = "bold", color = "black"),
        plot.caption = element_text(size = 10, color = "gray10", face = "italic")) +
  labs(caption = "The value in each bar is the total number of effect sizes",
       x = "Total Number of Effect Sizes",
       y = "Collective Behaviour Assay")

print(collective_behaviour_assay_effect_size_count_bar_plot)

# ggsave(here("figures", "collective_behaviour_assay_effect_size_count_bar_plot.pdf"), width = 10, height = 5, units = "cm", scale = 2, dpi = 800)
# ggsave(here("figures", "collective_behaviour_assay_effect_size_count_bar_plot.jpg"), width = 10, height = 5, units = "cm", scale = 2, dpi = 800)

Figure s13

Visual representation of the characteristics of the primary studies included in the dataset. The vertical bars indicate key categorical variables. The widths of the vertical bars indicate the numbers of effect sizes represented by each level of the categorical variable. The flow lines between vertical bars indicate the connections and overlaps of different levels of the categorical variables.

# Select relevant columns and replace NA values with 'Not Reported'
data_sankey <- data %>%
    select(c(behaviour_measured_standardised, behavioural_assay_standardised2, pesticide_chemical_class,
        control_solvent, species_english, sex, source)) %>%
    mutate(across(c(behaviour_measured_standardised, behavioural_assay_standardised2,
        pesticide_chemical_class, control_solvent, species_english, sex, source),
        ~replace_na(., "Not Reported")))

# Transform data into a long format for the Sankey plot
sankey_df <- data_sankey %>%
    ggsankey::make_long(behaviour_measured_standardised, behavioural_assay_standardised2,
        pesticide_chemical_class, control_solvent, species_english, sex, source)

# Create the Sankey plot
ggplot(sankey_df, aes(x = x, next_x = next_x, node = node, next_node = next_node,
    fill = factor(node), label = node)) + geom_sankey(flow.alpha = 0.6, node.color = "gray30") +
    geom_sankey_label(size = 3, color = "white", fill = "gray40") + scale_fill_viridis_d() +
    scale_x_discrete(labels = c("Behaviour Measured", "Assay Type", "Pesticide Class",
        "Control Solvent", "Species", "Sex", "Source"), position = "top") + theme_sankey(base_size = 10) +
    labs(x = NULL) + theme(legend.position = "none", plot.title = element_text(hjust = 0.5),
    axis.text.x = element_text(color = "black", size = 9))

# ggsave(here('figures', 'sankey_plot.pdf'), width = 10, height = 5, units =
# 'cm', scale = 2, dpi = 800) ggsave(here('figures', 'sankey_plot.jpg'), width
# = 10, height = 5, units = 'cm', scale = 2, dpi = 800)

Calculate effect size estimates & dependency

Find SD/Mean ratio

A bar plot showing the SD/Mean ratio of the control and treatment groups in each primary study

sd_mean_ratio <- data %>%
    mutate(control_sd = as.numeric(control_sd), treatment_sd = as.numeric(treatment_sd)) %>%
    group_by(study_id) %>%
    mutate(within_study_control_mean = mean(control_mean, na.rm = TRUE), within_study_treatment_mean = mean(treatment_mean,
        na.rm = TRUE), within_study_control_sd = mean(control_sd, na.rm = TRUE),
        within_study_treatment_sd = mean(treatment_sd, na.rm = TRUE), sd_mean_ratio_control = within_study_control_sd/within_study_control_mean,
        sd_mean_ratio_treatment = within_study_treatment_sd/within_study_treatment_mean)

sd_mean_ratio_bar_plot <- sd_mean_ratio %>%
    ggplot() + geom_histogram(aes(x = sd_mean_ratio_control), fill = "blue", alpha = 0.4) +
    geom_histogram(aes(x = sd_mean_ratio_treatment), fill = "red", alpha = 0.4) +
    scale_x_continuous(expand = c(0, 0)) + scale_y_continuous(expand = c(0, 0)) +
    theme_bw() + guides(size = "none") + theme(legend.position = "none", axis.text = element_text(color = "black"),
    axis.title = element_text(face = "bold", color = "black"), plot.caption = element_text(size = 10,
        color = "gray10", face = "italic")) + labs(caption = "Red = Control, Blue = Treatment, Purple = Both",
    x = "SD/Mean Ratio", y = "Frequency")

print(sd_mean_ratio_bar_plot)

# ggsave(here('figures', 'sd_mean_ratio_bar_plot.pdf'), plot =
# sd_mean_ratio_bar_plot, width = 10, height = 5, units = 'cm', scale = 2, dpi
# = 800) ggsave(here('figures', 'sd_mean_ratio_bar_plot.jpg'), plot =
# sd_mean_ratio_bar_plot, width = 10, height = 5, units = 'cm', scale = 2, dpi
# = 800)

Impute missing standard deviations & plot

We imputed the missing standard deviations using the formula provided in section 13.1 (p. 199) of the Handbook of Meta-analysis in Ecology and Evolution (Koricheva, Gurevitch, and Mengersen, 2013).

To ensure consistency in treatments subjected to repeated stepwise multiple comparisons (i.e., the same data used multiple times to calculate different effect sizes), we maintained the same imputed standard deviations (or standard errors) for the repeated data.

# Indicate which individuals are used in more than one control or treatment to
# calculate sampling variances of non-independent observations differently.
data_shared_indiv <- group_by(data, exp_id) %>%
    summarise(number_treatment = n())
data <- left_join(data, data_shared_indiv, by = "exp_id")


# Calculate the within and between study impacts of pesticides on fish social
# behaviour
data <- data %>%
    group_by(study_id) %>%
    mutate(control_sd = as.numeric(control_sd), treatment_sd = as.numeric(treatment_sd)) %>%
    group_by(study_id) %>%
    mutate(within_study_control_mean = mean(control_mean, na.rm = TRUE), within_study_treatment_mean = mean(treatment_mean,
        na.rm = TRUE), within_study_control_sd = mean(control_sd, na.rm = TRUE),
        within_study_treatment_sd = mean(treatment_sd, na.rm = TRUE), sd_mean_ratio_control = within_study_control_sd/within_study_control_mean,
        sd_mean_ratio_treatment = within_study_treatment_sd/within_study_treatment_mean) %>%
    ungroup() %>%
    mutate(between_study_control_mean = mean(within_study_control_mean, na.rm = T),
        between_study_treatment_mean = mean(within_study_treatment_mean, na.rm = T),
        between_study_control_sd = mean(within_study_control_sd, na.rm = T), between_study_treatment_sd = mean(within_study_treatment_sd,
            na.rm = T))


# label missing location
data$control_sd_report <- ifelse(is.na(data$control_sd), "Yes", "No")
data$treatment_sd_report <- ifelse(is.na(data$treatment_sd), "Yes", "No")

data %>%
    select(control_sd, treatment_sd) %>%
    impute_missingness()  # Missing SD == 3.9%, 36 imputations needed 
## 
## Summary of missingness:
## 
##        COLUMN PERCENT_MISSINGNESS IMPUTATIONS
##    control_sd                 3.9          18
##  treatment_sd                 3.9          18
## 
## Total missingness: 3.9% (36 imputations needed)
##                    COLUMN PERCENT_MISSINGNESS IMPUTATIONS
## control_sd     control_sd            3.904555          18
## treatment_sd treatment_sd            3.904555          18
data <- as.data.frame(data)  # convert into dataframe
data <- impute_SD(data, columnSDnames = c("control_sd", "treatment_sd"), columnXnames = c("control_mean",
    "treatment_mean"), method = "Bracken1992")


# Convert sd columns to log10 and create a combined dataframe for plotting
data_long <- data %>%
    mutate(log_control_sd = log10(control_sd), log_treatment_sd = log10(treatment_sd)) %>%
    pivot_longer(cols = c(log_control_sd, log_treatment_sd), names_to = "type", values_to = "log_sd") %>%
    mutate(reported = ifelse(type == "log_control_sd", control_sd_report, treatment_sd_report))

# Create the plot
imputed_sd_plot <- ggplot(data_long, aes(x = factor(study_id), y = log_sd, color = control_sd_report)) +
    geom_point(size = 2, alpha = 0.5) + scale_color_manual(values = RColorBrewer::brewer.pal(n = 8,
    name = "Dark2")[c(1, 2)]) + theme_bw() + theme(legend.position = "none", axis.text = element_text(color = "black"),
    axis.title = element_text(face = "bold", color = "black"), plot.caption = element_text(size = 10,
        color = "gray10", face = "italic"), axis.text.x = element_text(angle = 90,
        hjust = 1, vjust = 0.5)) + labs(caption = "Points with 'red' indicate missing standard deviations that were imputed",
    x = "Study ID", y = "Log10(SD Value)")

# Print the plot
print(imputed_sd_plot)

# ggsave(here('figures', 'imputed_sd_plot.pdf'), plot = imputed_sd_plot, width
# = 10, height = 5, units = 'cm', scale = 2, dpi = 800) ggsave(here('figures',
# 'imputed_sd_plot.jpg'), plot = imputed_sd_plot, width = 10, height = 5, units
# = 'cm', scale = 2, dpi = 800)

Calculate effect sizes and sampling variances

# Make sure all data is numeric
data <- data %>%
    mutate(treatment_mean = as.numeric(treatment_mean), treatment_sd = as.numeric(treatment_sd),
        treatment_n = as.numeric(treatment_n), control_mean = as.numeric(control_mean),
        control_sd = as.numeric(control_sd), control_n = as.numeric(control_n))
# Calculate log response ratio (lnRR)
lnRR <- escalc(measure = "ROM", m1i = treatment_mean, sd1i = treatment_sd, n1i = treatment_n,
    m2i = control_mean, sd2i = control_sd, n2i = control_n, data = data)

# Calculate log coefficient variation ratio (lnCVR)
lnCVR <- escalc(measure = "CVR", m1i = treatment_mean, sd1i = treatment_sd, n1i = treatment_n,
    m2i = control_mean, sd2i = control_sd, n2i = control_n, data = data)

# Calculate the standardised mean difference for sensitivity analysis
SMD <- escalc(measure = "SMD", m1i = treatment_mean, sd1i = treatment_sd, n1i = treatment_n,
    m2i = control_mean, sd2i = control_sd, n2i = control_n, data = data)

# Calculate log variation ratio (lnVR)
lnVR <- escalc(measure = "VR", m1i = treatment_mean, sd1i = treatment_sd, n1i = treatment_n,
    m2i = control_mean, sd2i = control_sd, n2i = control_n, data = data)

# Summary statistics of effect size estimates
effect_size_summaries <- list(lnRR = summary(lnRR$yi), lnCVR = summary(lnCVR$yi),
    SMD = summary(SMD$yi), VR = summary(lnVR$yi))

# Summary statistics of sampling variances
sampling_variance_summaries <- list(lnRR = summary(lnRR$vi), lnCVR = summary(lnCVR$vi),
    SMD = summary(SMD$vi), VR = summary(lnVR$vi))

# Calculate precision for each effect size estimate with checks
lnRR$precision <- ifelse(lnRR$vi > 0, 1/sqrt(lnRR$vi), NA)
lnCVR$precision <- ifelse(lnCVR$vi > 0, 1/sqrt(lnCVR$vi), NA)
SMD$precision <- ifelse(SMD$vi > 0, 1/sqrt(SMD$vi), NA)
lnVR$precision <- ifelse(lnVR$vi > 0, 1/sqrt(lnVR$vi), NA)

# Merge each of the effect size with precision
effect_size_metrics_set <- data.frame(lnRR = lnRR$yi, lnRRv = lnRR$vi, lnRR_precision = lnRR$precision,
    lnVR = lnVR$yi, lnVRv = lnVR$vi, lnVR_precision = lnVR$precision, lnCVR = lnCVR$yi,
    lnCVRv = lnCVR$vi, lnCVR_precision = lnCVR$precision, SMD = SMD$yi, SMDv = SMD$vi,
    SMD_precision = SMD$precision, control_imputed = data$control_sd_report, treatment_imputed = data$treatment_sd_report)

# Bind the effect size metrics set to the main data
data <- cbind(data, effect_size_metrics_set)

# Check if `effect_direction` is 'change' and not NA, then multiply `lnRR` by
# -1; otherwise, keep original `lnRR`
data$lnRR <- ifelse(!is.na(data$effect_direction) & data$effect_direction == "change",
    -1 * data$lnRR, data$lnRR)

# Select specific columns including the new precision columns
effect_size_metrics_set_kable <- data[, which(colnames(data) %in% c("study_id", "exp_id",
    "assay_id", "species_english", "pesticide", "behaviour_assay", "effect_direction",
    "lnRR", "lnRRv", "lnRR_precision", "lnCVR", "lnCVRv", "lnCVR_precision", "lnVR",
    "lnVRv", "lnVR_precision", "SMD", "SMDv", "SMD_precision", "control_imputed",
    "treatment_imputed"))] %>%
    dfround(digits = 3)

# Table of the effect sizes
kable(effect_size_metrics_set_kable, "html") %>%
    kable_styling("bordered", position = "left") %>%
    scroll_box(width = "250%", height = "800px")
study_id exp_id assay_id species_english pesticide behaviour_assay effect_direction lnRR lnRRv lnRR_precision lnVR lnVRv lnVR_precision lnCVR lnCVRv lnCVR_precision SMD SMDv SMD_precision control_imputed treatment_imputed
bellot_2024 bellot_2024_exp_001 bellot_2024_exp_001_assay_001 zebrafish glyphosate time spent in conspecific zone NA -0.290 0.011 9.632 -0.567 0.069 3.806 -0.278 0.080 3.539 -0.937 0.143 2.641 No No
bellot_2024 bellot_2024_exp_002 bellot_2024_exp_002_assay_001 zebrafish glyphosate time spent in conspecific zone NA -0.298 0.014 8.482 -0.275 0.069 3.806 0.023 0.083 3.472 -0.876 0.142 2.658 No No
boscolo_2018 boscolo_2018_exp_001 boscolo_2018_exp_001_assay_001 Nile tilapia diuron total frequency of aggressive interactions NA 0.056 0.113 2.975 -0.005 0.091 3.317 -0.061 0.204 2.215 0.066 0.167 2.449 No No
boscolo_2018 boscolo_2018_exp_002 boscolo_2018_exp_002_assay_001 Nile tilapia DCPMU total frequency of aggressive interactions NA -0.701 0.096 3.224 -0.952 0.091 3.317 -0.251 0.187 2.312 -0.757 0.179 2.366 No No
boscolo_2018 boscolo_2018_exp_003 boscolo_2018_exp_003_assay_001 Nile tilapia DCA total frequency of aggressive interactions NA -1.127 0.096 3.224 -1.378 0.091 3.317 -0.251 0.187 2.312 -1.055 0.190 2.295 No No
bridi_2017 bridi_2017_exp_001 bridi_2017_exp_001_assay_001 zebrafish glyphosate time spent close to stimulus NA -0.293 0.006 12.766 0.016 0.040 5.000 0.310 0.046 4.656 -1.051 0.088 3.380 No No
bridi_2017 bridi_2017_exp_002 bridi_2017_exp_002_assay_001 zebrafish glyphosate time spent close to stimulus NA -0.269 0.008 11.494 0.194 0.040 5.000 0.463 0.048 4.585 -0.884 0.084 3.441 No No
bridi_2017 bridi_2017_exp_003 bridi_2017_exp_003_assay_001 zebrafish glyphosate time spent close to stimulus NA -0.267 0.009 10.446 0.324 0.040 5.000 0.592 0.049 4.510 -0.810 0.083 3.466 No No
bridi_2017 bridi_2017_exp_004 bridi_2017_exp_004_assay_001 zebrafish roundup time spent close to stimulus NA -0.353 0.004 16.167 -0.476 0.040 5.000 -0.123 0.044 4.777 -1.490 0.098 3.190 No No
bridi_2017 bridi_2017_exp_005 bridi_2017_exp_005_assay_001 zebrafish roundup time spent close to stimulus NA -0.347 0.009 10.312 0.261 0.040 5.000 0.609 0.049 4.499 -1.056 0.088 3.378 No No
bridi_2017 bridi_2017_exp_006 bridi_2017_exp_006_assay_001 zebrafish roundup time spent close to stimulus NA -0.256 0.003 17.437 -0.572 0.040 5.000 -0.316 0.043 4.806 -1.158 0.090 3.337 No No
bridi_2017 bridi_2017_exp_001 bridi_2017_exp_001_assay_002 zebrafish glyphosate number of enteries NA -0.353 0.014 8.332 -0.567 0.040 5.000 -0.214 0.054 4.287 -0.756 0.082 3.483 No No
bridi_2017 bridi_2017_exp_002 bridi_2017_exp_002_assay_002 zebrafish glyphosate number of enteries NA -0.464 0.019 7.284 -0.390 0.040 5.000 0.074 0.059 4.122 -0.899 0.085 3.436 No No
bridi_2017 bridi_2017_exp_003 bridi_2017_exp_003_assay_002 zebrafish glyphosate number of enteries NA -0.585 0.012 9.227 -1.115 0.040 5.000 -0.530 0.052 4.396 -1.231 0.091 3.306 No No
bridi_2017 bridi_2017_exp_004 bridi_2017_exp_004_assay_002 zebrafish roundup number of enteries NA -0.464 0.014 8.355 -0.685 0.040 5.000 -0.221 0.054 4.290 -0.969 0.086 3.411 No No
bridi_2017 bridi_2017_exp_005 bridi_2017_exp_005_assay_002 zebrafish roundup number of enteries NA -0.522 0.012 9.183 -1.033 0.040 5.000 -0.512 0.052 4.391 -1.120 0.089 3.352 No No
bridi_2017 bridi_2017_exp_006 bridi_2017_exp_006_assay_002 zebrafish roundup number of enteries NA -0.469 0.011 9.573 -1.160 0.040 5.000 -0.691 0.051 4.432 -1.044 0.087 3.382 No No
chen_2022 chen_2022_exp_001 chen_2022_exp_001_assay_001 zebrafish difenoconazole contact time NA -0.356 0.005 13.918 -0.166 0.143 2.646 0.190 0.148 2.599 -2.362 0.424 1.535 No No
chen_2022 chen_2022_exp_002 chen_2022_exp_002_assay_001 zebrafish difenoconazole contact time NA 0.046 0.015 8.073 0.968 0.143 2.646 0.922 0.158 2.514 0.174 0.251 1.996 No No
chen_2022 chen_2022_exp_003 chen_2022_exp_003_assay_001 zebrafish difenoconazole contact time NA -0.972 0.022 6.739 0.154 0.143 2.646 1.126 0.165 2.463 -4.176 0.795 1.122 No No
chen_2022 chen_2022_exp_001 chen_2022_exp_001_assay_002 zebrafish difenoconazole contact time NA -0.019 0.008 10.923 0.335 0.143 2.646 0.354 0.151 2.571 -0.097 0.250 1.999 No No
chen_2022 chen_2022_exp_002 chen_2022_exp_002_assay_002 zebrafish difenoconazole contact time NA -0.026 0.005 14.810 -0.243 0.143 2.646 -0.218 0.147 2.605 -0.179 0.251 1.996 No No
chen_2022 chen_2022_exp_003 chen_2022_exp_003_assay_002 zebrafish difenoconazole contact time NA 0.110 0.006 13.188 0.148 0.143 2.646 0.037 0.149 2.594 0.685 0.265 1.944 No No
chen_2022 chen_2022_exp_001 chen_2022_exp_001_assay_003 zebrafish difenoconazole contact time NA -0.178 0.006 13.198 1.578 0.143 2.646 1.756 0.149 2.594 -1.205 0.295 1.840 No No
chen_2022 chen_2022_exp_002 chen_2022_exp_002_assay_003 zebrafish difenoconazole contact time NA -0.059 0.001 30.618 0.785 0.143 2.646 0.844 0.144 2.636 -0.875 0.274 1.911 No No
chen_2022 chen_2022_exp_003 chen_2022_exp_003_assay_003 zebrafish difenoconazole contact time NA -0.301 0.000 49.758 -0.123 0.143 2.646 0.178 0.143 2.642 -7.125 1.836 0.738 No No
chung_2023 chung_2023_exp_001 chung_2023_exp_001_assay_001 zebrafish imidacloprid distance between male and female change -0.838 0.039 5.076 0.932 0.111 3.000 0.094 0.150 2.583 1.553 0.260 1.960 No No
chung_2023 chung_2023_exp_002 chung_2023_exp_002_assay_001 zebrafish imidacloprid distance between male and female change -0.948 0.036 5.240 0.982 0.111 3.000 0.034 0.148 2.603 1.791 0.280 1.889 No No
chung_2023 chung_2023_exp_003 chung_2023_exp_003_assay_001 zebrafish imidacloprid distance between male and female change -1.193 0.029 5.881 0.972 0.111 3.000 -0.221 0.140 2.672 2.624 0.372 1.639 No No
chung_2023 chung_2023_exp_001 chung_2023_exp_001_assay_002 zebrafish imidacloprid male confrontation distance change 0.209 0.022 6.698 -0.011 0.111 3.000 0.198 0.133 2.738 -0.607 0.209 2.186 No No
chung_2023 chung_2023_exp_002 chung_2023_exp_002_assay_002 zebrafish imidacloprid male confrontation distance change 0.298 0.023 6.603 -0.077 0.111 3.000 0.222 0.134 2.731 -0.856 0.218 2.140 No No
chung_2023 chung_2023_exp_003 chung_2023_exp_003_assay_002 zebrafish imidacloprid male confrontation distance change 0.293 0.024 6.432 -0.029 0.111 3.000 0.264 0.135 2.719 -0.825 0.217 2.147 No No
faria_2021 faria_2021_exp_001 faria_2021_exp_001_assay_001 zebrafish glyphosate average interfish distance change 0.322 0.012 9.045 -0.116 0.053 4.353 0.206 0.065 3.922 -0.914 0.111 3.006 No No
faria_2021 faria_2021_exp_002 faria_2021_exp_002_assay_001 zebrafish glyphosate average interfish distance change 0.416 0.009 10.454 -0.542 0.056 4.243 -0.126 0.065 3.931 -1.304 0.128 2.799 No No
faria_2021 faria_2021_exp_001 faria_2021_exp_001_assay_002 zebrafish glyphosate farthest distance change 0.171 0.012 9.302 -0.217 0.053 4.359 -0.045 0.064 3.947 -0.489 0.103 3.116 No No
faria_2021 faria_2021_exp_002 faria_2021_exp_002_assay_002 zebrafish glyphosate farthest distance change 0.334 0.010 9.915 -0.548 0.054 4.300 -0.214 0.064 3.945 -0.975 0.115 2.951 No No
guo_2023 guo_2023_exp_001 guo_2023_exp_001_assay_001 zebrafish azoxystrobin distance in region of attraction NA -0.078 0.010 10.036 -0.071 0.059 4.123 0.007 0.069 3.814 -0.255 0.112 2.988 No No
guo_2023 guo_2023_exp_002 guo_2023_exp_002_assay_001 zebrafish azoxystrobin distance in region of attraction NA -0.170 0.008 10.898 -0.343 0.059 4.123 -0.173 0.067 3.856 -0.592 0.116 2.936 No No
guo_2023 guo_2023_exp_003 guo_2023_exp_003_assay_001 zebrafish azoxystrobin distance in region of attraction NA -0.369 0.008 11.510 -0.686 0.059 4.123 -0.317 0.066 3.882 -1.278 0.134 2.734 No No
guo_2023 guo_2023_exp_001 guo_2023_exp_001_assay_002 zebrafish azoxystrobin frequency in region of attraction NA -0.041 0.003 17.903 0.184 0.059 4.123 0.225 0.062 4.018 -0.242 0.112 2.989 No No
guo_2023 guo_2023_exp_002 guo_2023_exp_002_assay_002 zebrafish azoxystrobin frequency in region of attraction NA -0.168 0.004 15.245 0.299 0.059 4.123 0.467 0.063 3.980 -0.859 0.121 2.870 No No
guo_2023 guo_2023_exp_003 guo_2023_exp_003_assay_002 zebrafish azoxystrobin frequency in region of attraction NA -0.301 0.002 22.047 -0.483 0.059 4.123 -0.182 0.061 4.053 -2.069 0.171 2.422 No No
guo_2023 guo_2023_exp_001 guo_2023_exp_001_assay_003 zebrafish azoxystrobin distance in region of attraction NA -0.020 0.003 18.875 0.373 0.059 4.123 0.392 0.062 4.028 -0.122 0.111 2.997 No No
guo_2023 guo_2023_exp_002 guo_2023_exp_002_assay_003 zebrafish azoxystrobin distance in region of attraction NA -0.145 0.002 20.546 0.119 0.059 4.123 0.264 0.061 4.043 -0.982 0.125 2.834 No No
guo_2023 guo_2023_exp_003 guo_2023_exp_003_assay_003 zebrafish azoxystrobin distance in region of attraction NA -0.195 0.002 20.942 0.038 0.059 4.123 0.233 0.061 4.045 -1.348 0.136 2.708 No No
guo_2023 guo_2023_exp_001 guo_2023_exp_001_assay_004 zebrafish azoxystrobin frequency in region of attraction NA -0.155 0.008 10.982 0.131 0.059 4.123 0.286 0.067 3.860 -0.565 0.116 2.942 No No
guo_2023 guo_2023_exp_002 guo_2023_exp_002_assay_004 zebrafish azoxystrobin frequency in region of attraction NA -0.251 0.004 15.548 -0.731 0.059 4.123 -0.480 0.063 3.985 -1.193 0.131 2.764 No No
guo_2023 guo_2023_exp_003 guo_2023_exp_003_assay_004 zebrafish azoxystrobin frequency in region of attraction NA -0.505 0.004 15.270 -0.923 0.059 4.123 -0.418 0.063 3.981 -2.196 0.178 2.370 No No
guo_2023 guo_2023_exp_001 guo_2023_exp_001_assay_005 zebrafish azoxystrobin time near female NA -0.134 0.005 14.261 -1.166 0.059 4.123 -1.032 0.064 3.961 -0.592 0.116 2.936 No No
guo_2023 guo_2023_exp_002 guo_2023_exp_002_assay_005 zebrafish azoxystrobin time near female NA -0.202 0.005 14.907 -1.931 0.059 4.123 -1.729 0.063 3.974 -0.895 0.122 2.860 No No
guo_2023 guo_2023_exp_003 guo_2023_exp_003_assay_005 zebrafish azoxystrobin time near female NA -0.369 0.006 13.171 -0.937 0.059 4.123 -0.568 0.065 3.935 -1.417 0.139 2.682 No No
guo_2023 guo_2023_exp_001 guo_2023_exp_001_assay_006 zebrafish azoxystrobin time near male NA -0.068 0.001 27.074 -1.718 0.059 4.123 -1.649 0.060 4.076 -0.583 0.116 2.938 No No
guo_2023 guo_2023_exp_002 guo_2023_exp_002_assay_006 zebrafish azoxystrobin time near male NA -0.228 0.002 24.211 -0.836 0.059 4.123 -0.608 0.061 4.065 -1.680 0.150 2.579 No No
guo_2023 guo_2023_exp_003 guo_2023_exp_003_assay_006 zebrafish azoxystrobin time near male NA -0.266 0.002 21.141 -0.444 0.059 4.123 -0.178 0.061 4.047 -1.764 0.154 2.546 No No
guo_2023 guo_2023_exp_001 guo_2023_exp_001_assay_007 zebrafish azoxystrobin distance in region of contact NA 0.038 0.000 70.325 0.676 0.059 4.123 0.638 0.059 4.116 0.866 0.122 2.869 No No
guo_2023 guo_2023_exp_002 guo_2023_exp_002_assay_007 zebrafish azoxystrobin distance in region of contact NA 0.054 0.000 51.146 1.072 0.059 4.123 1.018 0.059 4.110 0.888 0.122 2.862 No No
guo_2023 guo_2023_exp_003 guo_2023_exp_003_assay_007 zebrafish azoxystrobin distance in region of contact NA 0.110 0.000 63.192 0.881 0.059 4.123 0.771 0.059 4.114 2.181 0.177 2.376 No No
guo_2023 guo_2023_exp_001 guo_2023_exp_001_assay_008 zebrafish azoxystrobin distance in region of contact NA 0.121 0.007 12.370 1.071 0.059 4.123 0.950 0.065 3.912 0.466 0.114 2.960 No No
guo_2023 guo_2023_exp_002 guo_2023_exp_002_assay_008 zebrafish azoxystrobin distance in region of contact NA 0.301 0.009 10.666 1.418 0.059 4.123 1.117 0.068 3.846 0.923 0.123 2.852 No No
guo_2023 guo_2023_exp_003 guo_2023_exp_003_assay_008 zebrafish azoxystrobin distance in region of contact NA 0.400 0.008 11.311 1.451 0.059 4.123 1.051 0.067 3.874 1.253 0.133 2.743 No No
guo_2023 guo_2023_exp_001 guo_2023_exp_001_assay_009 zebrafish azoxystrobin frequency in region of contact NA 0.021 0.003 17.229 0.007 0.059 4.123 -0.014 0.062 4.010 0.120 0.111 2.997 No No
guo_2023 guo_2023_exp_002 guo_2023_exp_002_assay_009 zebrafish azoxystrobin frequency in region of contact NA 0.112 0.002 21.033 -0.452 0.059 4.123 -0.565 0.061 4.046 0.792 0.120 2.889 No No
guo_2023 guo_2023_exp_003 guo_2023_exp_003_assay_009 zebrafish azoxystrobin frequency in region of contact NA 0.236 0.002 21.244 -0.371 0.059 4.123 -0.607 0.061 4.048 1.728 0.153 2.560 No No
guo_2023 guo_2023_exp_001 guo_2023_exp_001_assay_010 zebrafish azoxystrobin frequency in region of contact NA 0.007 0.001 31.868 -0.518 0.059 4.123 -0.525 0.060 4.089 0.071 0.111 2.999 No No
guo_2023 guo_2023_exp_002 guo_2023_exp_002_assay_010 zebrafish azoxystrobin frequency in region of contact NA 0.123 0.004 15.072 0.932 0.059 4.123 0.808 0.063 3.977 0.581 0.116 2.939 No No
guo_2023 guo_2023_exp_003 guo_2023_exp_003_assay_010 zebrafish azoxystrobin frequency in region of contact NA 0.233 0.002 24.017 0.393 0.059 4.123 0.160 0.061 4.064 1.769 0.155 2.543 No No
gusso_2020 gusso_2020_exp_001 gusso_2020_exp_001_assay_001 zebrafish pyriproxyfen total aggressive behaviours towards mirror NA -0.135 0.056 4.230 0.085 0.077 3.606 0.220 0.133 2.744 -0.211 0.144 2.638 No No
gusso_2020 gusso_2020_exp_002 gusso_2020_exp_002_assay_001 zebrafish pyriproxyfen total aggressive behaviours towards mirror NA 0.036 0.039 5.085 -0.098 0.077 3.606 -0.134 0.116 2.941 0.067 0.143 2.645 No No
gusso_2020 gusso_2020_exp_003 gusso_2020_exp_003_assay_001 zebrafish pyriproxyfen total aggressive behaviours towards mirror NA -0.217 0.064 3.958 0.107 0.077 3.606 0.325 0.141 2.665 -0.323 0.145 2.629 No No
gusso_2020 gusso_2020_exp_001 gusso_2020_exp_001_assay_002 zebrafish pyriproxyfen total aggressive behaviours towards mirror NA 0.133 0.062 4.001 0.221 0.077 3.606 0.089 0.139 2.678 0.193 0.144 2.640 No No
gusso_2020 gusso_2020_exp_002 gusso_2020_exp_002_assay_002 zebrafish pyriproxyfen total aggressive behaviours towards mirror NA 0.303 0.045 4.702 0.039 0.077 3.606 -0.265 0.122 2.861 0.534 0.148 2.600 No No
gusso_2020 gusso_2020_exp_003 gusso_2020_exp_003_assay_002 zebrafish pyriproxyfen total aggressive behaviours towards mirror NA 0.050 0.070 3.769 0.244 0.077 3.606 0.194 0.147 2.605 0.069 0.143 2.645 No No
gusso_2020 gusso_2020_exp_001 gusso_2020_exp_001_assay_003 zebrafish pyriproxyfen time spent in the area closest to the stimulus aquarium NA -0.019 0.017 7.656 0.334 0.083 3.464 0.352 0.100 3.156 -0.054 0.154 2.549 No No
gusso_2020 gusso_2020_exp_002 gusso_2020_exp_002_assay_003 zebrafish pyriproxyfen time spent in the area closest to the stimulus aquarium NA -0.089 0.016 7.961 0.204 0.083 3.464 0.293 0.099 3.176 -0.272 0.155 2.538 No No
gusso_2020 gusso_2020_exp_003 gusso_2020_exp_003_assay_003 zebrafish pyriproxyfen time spent in the area closest to the stimulus aquarium NA 0.055 0.009 10.742 -0.257 0.083 3.464 -0.312 0.092 3.297 0.227 0.155 2.541 No No
gusso_2020 gusso_2020_exp_001 gusso_2020_exp_001_assay_004 zebrafish pyriproxyfen time spent in the area closest to the stimulus aquarium NA -0.019 0.017 7.656 0.334 0.083 3.464 0.352 0.100 3.156 -0.054 0.154 2.549 No No
gusso_2020 gusso_2020_exp_002 gusso_2020_exp_002_assay_004 zebrafish pyriproxyfen time spent in the area closest to the stimulus aquarium NA -0.089 0.016 7.961 0.204 0.083 3.464 0.293 0.099 3.176 -0.272 0.155 2.538 No No
gusso_2020 gusso_2020_exp_003 gusso_2020_exp_003_assay_004 zebrafish pyriproxyfen time spent in the area closest to the stimulus aquarium NA 0.055 0.009 10.742 -0.257 0.083 3.464 -0.312 0.092 3.297 0.227 0.155 2.541 No No
hawkey_2020 hawkey_2020_exp_001 hawkey_2020_exp_001_assay_001 zebrafish DDT total distance moved NA -0.298 0.008 11.177 0.250 0.029 5.873 0.548 0.037 5.199 -0.834 0.061 4.041 No No
hawkey_2020 hawkey_2020_exp_002 hawkey_2020_exp_002_assay_001 zebrafish DDT total distance moved NA -0.145 0.005 14.077 0.066 0.029 5.873 0.211 0.034 5.420 -0.486 0.058 4.152 No No
hawkey_2020 hawkey_2020_exp_003 hawkey_2020_exp_003_assay_001 zebrafish chlorpyrifos change in position NA 0.733 0.412 1.558 -0.171 0.053 4.335 -0.904 0.465 1.466 0.414 0.103 3.114 No No
hawkey_2020 hawkey_2020_exp_004 hawkey_2020_exp_004_assay_001 zebrafish chlorpyrifos change in position NA 1.127 0.378 1.626 -0.024 0.048 4.583 -1.150 0.426 1.533 0.754 0.097 3.205 No No
hawkey_2020 hawkey_2020_exp_005 hawkey_2020_exp_005_assay_001 zebrafish chlorpyrifos change in position NA 1.458 0.381 1.621 0.298 0.050 4.467 -1.161 0.431 1.524 1.001 0.107 3.051 No No
hawkey_2021 hawkey_2021_exp_001 hawkey_2021_exp_001_assay_001 zebrafish chlorpyrifos distance NA -0.095 0.007 12.325 -0.208 0.022 6.745 -0.113 0.029 5.917 -0.240 0.043 4.804 No No
hawkey_2021 hawkey_2021_exp_002 hawkey_2021_exp_002_assay_001 zebrafish DDT distance NA 0.038 0.009 10.761 0.138 0.023 6.550 0.101 0.032 5.595 0.086 0.046 4.683 No No
hawkey_2021 hawkey_2021_exp_003 hawkey_2021_exp_003_assay_001 zebrafish chlorpyrifos ; DDT distance NA 0.206 0.007 12.349 -0.098 0.027 6.059 -0.304 0.034 5.439 0.572 0.055 4.261 No No
hawkey_2021 hawkey_2021_exp_001 hawkey_2021_exp_001_assay_002 zebrafish chlorpyrifos change in position NA 0.435 0.082 3.498 0.195 0.022 6.745 -0.240 0.104 3.105 0.317 0.044 4.792 No No
hawkey_2021 hawkey_2021_exp_002 hawkey_2021_exp_002_assay_002 zebrafish DDT change in position NA 0.486 0.085 3.439 0.234 0.023 6.550 -0.252 0.108 3.045 0.358 0.046 4.649 No No
hawkey_2021 hawkey_2021_exp_003 hawkey_2021_exp_003_assay_002 zebrafish chlorpyrifos ; DDT change in position NA -0.576 0.524 1.381 0.363 0.027 6.059 0.938 0.552 1.347 -0.237 0.053 4.329 No No
hawkey_2021 hawkey_2021_exp_004 hawkey_2021_exp_004_assay_001 zebrafish chlorpyrifos change in position NA 0.361 0.100 3.158 -0.063 0.029 5.914 -0.424 0.129 2.786 0.277 0.056 4.221 No No
hawkey_2021 hawkey_2021_exp_005 hawkey_2021_exp_005_assay_001 zebrafish DDT change in position NA -1.696 3.273 0.553 0.249 0.027 6.081 1.944 3.300 0.550 -0.438 0.054 4.306 No No
hawkey_2021 hawkey_2021_exp_006 hawkey_2021_exp_006_assay_001 zebrafish chlorpyrifos ; DDT change in position NA -0.850 0.412 1.558 -0.278 0.037 5.226 0.572 0.448 1.493 -0.387 0.072 3.733 No No
hued_2011 hued_2011_exp_001 hued_2011_exp_001_assay_001 killifish roundup number of persecutions NA -0.345 0.066 3.885 -0.325 0.125 2.828 0.020 0.191 2.287 -0.589 0.232 2.077 No No
hued_2011 hued_2011_exp_001 hued_2011_exp_001_assay_002 killifish roundup number of persecutions NA -0.276 0.064 3.961 -0.294 0.125 2.828 -0.019 0.189 2.302 -0.482 0.229 2.091 No No
hued_2011 hued_2011_exp_001 hued_2011_exp_001_assay_003 killifish roundup number of copulation attempts NA -0.629 0.140 2.671 -1.030 0.125 2.828 -0.401 0.265 1.942 -0.634 0.233 2.070 No No
hued_2011 hued_2011_exp_001 hued_2011_exp_001_assay_004 killifish roundup number of copulation attempts NA -0.457 0.126 2.813 -1.050 0.125 2.828 -0.593 0.251 1.995 -0.499 0.229 2.089 No No
hued_2011 hued_2011_exp_001 hued_2011_exp_001_assay_005 killifish roundup number of copulations NA -0.860 0.068 3.843 -0.522 0.125 2.828 0.338 0.193 2.278 -1.475 0.283 1.881 No No
hued_2011 hued_2011_exp_001 hued_2011_exp_001_assay_006 killifish roundup number of copulations NA -0.935 0.066 3.894 -0.616 0.125 2.828 0.318 0.191 2.288 -1.588 0.292 1.850 No No
hued_2011 hued_2011_exp_001 hued_2011_exp_001_assay_007 killifish roundup mating success NA -0.268 0.036 5.294 0.847 0.125 2.828 1.116 0.161 2.495 -0.707 0.236 2.058 No No
hued_2011 hued_2011_exp_001 hued_2011_exp_001_assay_008 killifish roundup mating success NA -0.435 0.048 4.543 0.847 0.125 2.828 1.283 0.173 2.401 -1.061 0.253 1.986 No No
hussian_2020 hussian_2020_exp_001 hussian_2020_exp_001_assay_001 zebrafish paclobutrazol mirror biting time NA -0.686 NA NA NA NA NA NA NA NA NA NA NA No No
hussian_2020 hussian_2020_exp_002 hussian_2020_exp_002_assay_001 zebrafish paclobutrazol mirror biting time NA -0.805 NA NA NA NA NA NA NA NA NA NA NA No No
hussian_2020 hussian_2020_exp_001 hussian_2020_exp_001_assay_002 zebrafish paclobutrazol duration of stay on mirror side NA -1.644 NA NA NA NA NA NA NA NA NA NA NA No No
hussian_2020 hussian_2020_exp_002 hussian_2020_exp_002_assay_002 zebrafish paclobutrazol duration of stay on mirror side NA -1.669 NA NA NA NA NA NA NA NA NA NA NA No No
hussian_2020 hussian_2020_exp_001 hussian_2020_exp_001_assay_003 zebrafish paclobutrazol interaction time percentage NA -0.154 0.075 3.654 0.383 0.034 5.385 0.536 0.109 3.023 -0.148 0.067 3.868 No No
hussian_2020 hussian_2020_exp_002 hussian_2020_exp_002_assay_003 zebrafish paclobutrazol interaction time percentage NA -0.292 0.338 1.720 1.116 0.034 5.385 1.408 0.372 1.639 -0.145 0.067 3.868 No No
hussian_2020 hussian_2020_exp_001 hussian_2020_exp_001_assay_004 zebrafish paclobutrazol longest duration of stay in seperator side NA -0.072 4.307 0.482 0.028 0.034 5.385 0.100 4.341 0.480 -0.009 0.067 3.873 No No
hussian_2020 hussian_2020_exp_002 hussian_2020_exp_002_assay_004 zebrafish paclobutrazol longest duration of stay in seperator side NA -0.387 3.936 0.504 -0.372 0.034 5.385 0.015 3.971 0.502 -0.048 0.067 3.872 No No
hussian_2020 hussian_2020_exp_001 hussian_2020_exp_001_assay_006 zebrafish paclobutrazol average distance to seperator change -0.384 0.686 1.208 0.069 0.034 5.385 -0.315 0.720 1.178 0.122 0.067 3.869 No No
hussian_2020 hussian_2020_exp_002 hussian_2020_exp_002_assay_006 zebrafish paclobutrazol average distance to seperator change -0.487 0.524 1.381 -0.393 0.034 5.385 -0.880 0.559 1.338 0.198 0.067 3.864 No No
hussian_2020 hussian_2020_exp_001 hussian_2020_exp_001_assay_007 zebrafish paclobutrazol average speed NA -0.429 0.141 2.664 -0.086 0.034 5.385 0.343 0.175 2.388 -0.301 0.067 3.851 No No
hussian_2020 hussian_2020_exp_002 hussian_2020_exp_002_assay_007 zebrafish paclobutrazol average speed NA -0.403 0.072 3.719 -0.719 0.034 5.385 -0.316 0.107 3.060 -0.350 0.068 3.844 No No
hussian_2020 hussian_2020_exp_001 hussian_2020_exp_001_assay_008 zebrafish paclobutrazol time in top NA -1.558 5.893 0.412 0.403 0.034 5.385 1.961 5.928 0.411 -0.331 0.068 3.847 No No
hussian_2020 hussian_2020_exp_002 hussian_2020_exp_002_assay_008 zebrafish paclobutrazol time in top NA -0.245 0.516 1.392 0.383 0.034 5.385 0.628 0.551 1.348 -0.092 0.067 3.871 No No
hussian_2020 hussian_2020_exp_001 hussian_2020_exp_001_assay_009 zebrafish paclobutrazol distance between individuals change -0.020 0.047 4.611 -0.228 0.034 5.385 -0.248 0.082 3.502 0.024 0.067 3.873 No No
hussian_2020 hussian_2020_exp_002 hussian_2020_exp_002_assay_009 zebrafish paclobutrazol distance between individuals change 0.035 0.070 3.770 0.136 0.034 5.385 0.170 0.105 3.089 -0.034 0.067 3.873 No No
hussian_2020 hussian_2020_exp_001 hussian_2020_exp_001_assay_010 zebrafish paclobutrazol average shoal area change -0.089 0.043 4.838 -1.375 0.034 5.385 -1.464 0.077 3.599 0.114 0.067 3.870 No No
hussian_2020 hussian_2020_exp_002 hussian_2020_exp_002_assay_010 zebrafish paclobutrazol average shoal area change -0.127 0.045 4.716 -0.982 0.034 5.385 -1.109 0.079 3.548 0.160 0.067 3.867 No No
hussian_2020 hussian_2020_exp_001 hussian_2020_exp_001_assay_011 zebrafish paclobutrazol average nearest neighbor distance change -0.065 0.086 3.415 -0.382 0.034 5.385 -0.448 0.120 2.884 0.058 0.067 3.872 No No
hussian_2020 hussian_2020_exp_002 hussian_2020_exp_002_assay_011 zebrafish paclobutrazol average nearest neighbor distance change 0.001 0.122 2.863 0.001 0.034 5.385 0.002 0.156 2.528 0.000 0.067 3.873 No No
hussian_2020 hussian_2020_exp_001 hussian_2020_exp_001_assay_012 zebrafish paclobutrazol average farthest neighbor distance change 0.266 0.074 3.685 -0.687 0.034 5.385 -0.421 0.108 3.041 -0.234 0.067 3.860 No No
hussian_2020 hussian_2020_exp_002 hussian_2020_exp_002_assay_012 zebrafish paclobutrazol average farthest neighbor distance change 0.085 0.109 3.033 -0.032 0.034 5.385 0.053 0.143 2.643 -0.065 0.067 3.872 No No
ibrahim_2023 ibrahim_2023_exp_001 ibrahim_2023_exp_001_assay_001 Nile tilapia mancozeb number of chases NA NA NA NA 2.565 0.111 3.000 NA NA NA 4.599 0.729 1.171 No No
ibrahim_2023 ibrahim_2023_exp_002 ibrahim_2023_exp_001_assay_002 Nile tilapia mancozeb number of chases NA NA NA NA 2.197 0.111 3.000 NA NA NA 8.513 2.012 0.705 No No
ibrahim_2023 ibrahim_2023_exp_003 ibrahim_2023_exp_001_assay_003 Nile tilapia mancozeb number of chases NA NA NA NA 1.946 0.111 3.000 NA NA NA 12.719 4.244 0.485 No No
ibrahim_2023 ibrahim_2023_exp_004 ibrahim_2023_exp_001_assay_004 Nile tilapia mancozeb number of chases NA NA NA NA 2.398 0.111 3.000 NA NA NA 8.375 1.954 0.715 No No
ibrahim_2023 ibrahim_2023_exp_005 ibrahim_2023_exp_001_assay_005 Nile tilapia mancozeb number of chases NA NA NA NA 2.708 0.111 3.000 NA NA NA 6.581 1.283 0.883 No No
ilie_2021 ilie_2021_exp_001 ilie_2021_exp_001_assay_001 zebrafish rotenone time spent in the left arm NA -0.313 0.071 3.765 -0.534 0.071 3.742 -0.221 0.142 2.654 -0.397 0.136 2.712 No No
ilie_2021 ilie_2021_exp_001 ilie_2021_exp_001_assay_002 zebrafish rotenone time spent in the left arm NA 0.128 0.094 3.260 -0.436 0.071 3.742 -0.564 0.166 2.458 0.152 0.134 2.735 No No
ilie_2021 ilie_2021_exp_001 ilie_2021_exp_001_assay_003 zebrafish rotenone time spent in the left arm NA 0.035 0.078 3.583 -0.050 0.071 3.742 -0.085 0.149 2.588 0.044 0.133 2.738 No No
ilie_2021 ilie_2021_exp_001 ilie_2021_exp_001_assay_004 zebrafish rotenone time spent in the left arm NA 0.533 0.027 6.069 -0.532 0.071 3.742 -1.065 0.099 3.185 1.385 0.165 2.460 No No
ilie_2021 ilie_2021_exp_001 ilie_2021_exp_001_assay_005 zebrafish rotenone time spent in the left arm NA -0.129 0.018 7.548 -0.498 0.071 3.742 -0.369 0.089 3.352 -0.337 0.135 2.719 No No
ilie_2021 ilie_2021_exp_001 ilie_2021_exp_001_assay_006 zebrafish rotenone time spent in the left arm NA -0.737 0.191 2.288 0.590 0.071 3.742 1.327 0.262 1.952 -0.801 0.144 2.635 No No
ilie_2021 ilie_2021_exp_001 ilie_2021_exp_001_assay_007 zebrafish rotenone time spent in the left arm NA 0.001 0.027 6.038 0.357 0.071 3.742 0.355 0.099 3.180 0.003 0.133 2.739 No No
ilie_2021 ilie_2021_exp_001 ilie_2021_exp_001_assay_008 zebrafish rotenone time spent in the left arm NA -0.424 0.044 4.759 -0.095 0.071 3.742 0.329 0.116 2.941 -0.741 0.142 2.649 No No
ilie_2021 ilie_2021_exp_001 ilie_2021_exp_001_assay_009 zebrafish rotenone time spent in the left arm NA 0.185 0.085 3.435 0.578 0.071 3.742 0.394 0.156 2.531 0.217 0.134 2.731 No No
ilie_2021 ilie_2021_exp_001 ilie_2021_exp_001_assay_010 zebrafish rotenone time spent in the left arm NA -0.301 0.118 2.906 -0.076 0.071 3.742 0.226 0.190 2.295 -0.316 0.135 2.722 No No
ilie_2021 ilie_2021_exp_001 ilie_2021_exp_001_assay_011 zebrafish rotenone time spent in the left arm NA -0.150 0.047 4.590 1.422 0.071 3.742 1.572 0.119 2.900 -0.261 0.134 2.727 No No
ilie_2021 ilie_2021_exp_001 ilie_2021_exp_001_assay_012 zebrafish rotenone time spent in the left arm NA -0.005 0.035 5.351 -0.808 0.071 3.742 -0.803 0.106 3.066 -0.010 0.133 2.739 No No
ilie_2021 ilie_2021_exp_001 ilie_2021_exp_001_assay_013 zebrafish rotenone time spent in the left arm NA -0.288 0.171 2.418 0.526 0.071 3.742 0.814 0.242 2.031 -0.270 0.135 2.726 No No
ilie_2021 ilie_2021_exp_001 ilie_2021_exp_001_assay_014 zebrafish rotenone time spent in the left arm NA -0.325 0.078 3.573 0.736 0.071 3.742 1.061 0.150 2.584 -0.465 0.137 2.702 No No
ilie_2021 ilie_2021_exp_001 ilie_2021_exp_001_assay_015 zebrafish rotenone time spent in the left arm NA 0.260 0.025 6.302 0.938 0.071 3.742 0.679 0.097 3.217 0.534 0.138 2.691 No No
ilie_2021 ilie_2021_exp_001 ilie_2021_exp_001_assay_016 zebrafish rotenone time spent in the left arm NA -0.292 0.179 2.362 0.581 0.071 3.742 0.872 0.251 1.997 -0.269 0.135 2.726 No No
ilie_2021 ilie_2021_exp_001 ilie_2021_exp_001_assay_017 zebrafish rotenone time spent in the left arm NA -0.110 0.053 4.351 0.065 0.071 3.742 0.175 0.124 2.837 -0.172 0.134 2.734 No No
ilie_2021 ilie_2021_exp_001 ilie_2021_exp_001_assay_018 zebrafish rotenone time spent in the left arm NA 0.221 0.056 4.219 0.123 0.071 3.742 -0.098 0.128 2.799 0.332 0.135 2.720 No No
ilie_2021 ilie_2021_exp_001 ilie_2021_exp_001_assay_019 zebrafish rotenone time spent in the left arm NA 0.218 0.131 2.759 -0.162 0.071 3.742 -0.380 0.203 2.221 0.220 0.134 2.730 No No
ilie_2021 ilie_2021_exp_001 ilie_2021_exp_001_assay_020 zebrafish rotenone time spent in the left arm NA 0.529 0.061 4.044 0.265 0.071 3.742 -0.264 0.133 2.746 0.769 0.143 2.643 No No
ilie_2021 ilie_2021_exp_001 ilie_2021_exp_001_assay_021 zebrafish rotenone time spent in the left arm NA 0.362 0.032 5.565 0.439 0.071 3.742 0.077 0.104 3.105 0.688 0.141 2.661 No No
ilie_2022 ilie_2022_exp_001 ilie_2022_exp_001_assay_001 zebrafish rotenone percentage of time in left arm NA 0.810 0.036 5.305 1.083 0.250 2.000 0.274 0.286 1.871 2.000 0.600 1.291 No No
ilie_2022 ilie_2022_exp_001 ilie_2022_exp_001_assay_002 zebrafish rotenone percentage of time in left arm NA 0.935 0.485 1.436 1.285 0.250 2.000 0.350 0.735 1.166 0.587 0.417 1.548 No No
ilie_2022 ilie_2022_exp_001 ilie_2022_exp_001_assay_003 zebrafish rotenone percentage of time in left arm NA 0.916 0.089 3.353 0.795 0.250 2.000 -0.121 0.339 1.718 1.578 0.524 1.381 No No
ilie_2022 ilie_2022_exp_001 ilie_2022_exp_001_assay_004 zebrafish rotenone percentage of time in left arm NA -0.937 0.538 1.363 -0.290 0.250 2.000 0.647 0.788 1.126 -0.817 0.433 1.519 No No
ilie_2022 ilie_2022_exp_001 ilie_2022_exp_001_assay_005 zebrafish rotenone percentage of time in left arm NA 0.208 0.517 1.391 0.156 0.250 2.000 -0.052 0.767 1.142 0.165 0.401 1.578 No No
ilie_2022 ilie_2022_exp_001 ilie_2022_exp_001_assay_006 zebrafish rotenone percentage of time in left arm NA -0.264 0.376 1.630 0.802 0.250 2.000 1.065 0.626 1.264 -0.271 0.404 1.574 No No
ilie_2022 ilie_2022_exp_001 ilie_2022_exp_001_assay_007 zebrafish rotenone percentage of time in left arm NA -0.565 0.208 2.192 0.045 0.250 2.000 0.610 0.458 1.477 -0.781 0.431 1.524 No No
ilie_2022 ilie_2022_exp_001 ilie_2022_exp_001_assay_008 zebrafish rotenone percentage of time in left arm NA -1.592 0.312 1.790 -1.332 0.250 2.000 0.260 0.562 1.334 -1.289 0.483 1.439 No No
ilie_2022 ilie_2022_exp_001 ilie_2022_exp_001_assay_009 zebrafish rotenone percentage of time in left arm NA -1.359 0.310 1.797 -1.441 0.250 2.000 -0.081 0.560 1.337 -1.009 0.451 1.489 No No
jaensson_2007 jaensson_2007_exp_001 jaensson_2007_exp_001_assay_001 brown trout cypermethrin number of courting events per six minutes NA 0.468 0.254 1.985 0.379 0.067 3.858 -0.089 0.321 1.765 0.330 0.127 2.811 No No
jaensson_2007 jaensson_2007_exp_002 jaensson_2007_exp_002_assay_001 brown trout cypermethrin time near female NA 0.622 0.177 2.379 0.232 0.119 2.898 -0.391 0.296 1.839 0.659 0.219 2.135 No No
jaensson_2007 jaensson_2007_exp_003 jaensson_2007_exp_002_assay_002 brown trout cypermethrin time near female NA -1.544 0.241 2.037 -1.776 0.161 2.494 -0.232 0.402 1.578 -0.719 0.280 1.891 No No
khalil_2013 khalil_2013_exp_001 khalil_2013_exp_001_assay_001 Japanese medaka chlorpyrifos swimming speed NA -0.069 0.058 4.137 -0.270 0.200 2.236 -0.201 0.258 1.967 -0.151 0.334 1.730 No No
khalil_2013 khalil_2013_exp_001 khalil_2013_exp_001_assay_002 Japanese medaka chlorpyrifos swimming speed NA 0.685 0.026 6.230 1.276 0.200 2.236 0.591 0.226 2.105 1.812 0.470 1.458 No No
khalil_2013 khalil_2013_exp_001 khalil_2013_exp_001_assay_003 Japanese medaka chlorpyrifos duration NA -0.226 0.075 3.662 -0.604 0.200 2.236 -0.377 0.275 1.908 -0.420 0.341 1.713 No No
khalil_2013 khalil_2013_exp_001 khalil_2013_exp_001_assay_004 Japanese medaka chlorpyrifos duration NA -0.672 0.122 2.868 -1.229 0.200 2.236 -0.557 0.322 1.763 -0.827 0.362 1.662 No No
khalil_2013 khalil_2013_exp_001 khalil_2013_exp_001_assay_005 Japanese medaka chlorpyrifos frequency NA 0.654 0.359 1.669 -0.288 0.200 2.236 -0.942 0.559 1.337 0.705 0.354 1.681 No No
khalil_2013 khalil_2013_exp_001 khalil_2013_exp_001_assay_006 Japanese medaka chlorpyrifos frequency NA 0.325 0.030 5.791 0.528 0.200 2.236 0.203 0.230 2.086 0.951 0.371 1.642 No No
khalil_2013 khalil_2013_exp_001 khalil_2013_exp_001_assay_007 Japanese medaka chlorpyrifos duration NA 0.527 0.161 2.489 -1.528 0.200 2.236 -2.056 0.361 1.663 0.907 0.368 1.649 No No
khalil_2013 khalil_2013_exp_001 khalil_2013_exp_001_assay_008 Japanese medaka chlorpyrifos duration NA 0.097 0.011 9.391 -0.995 0.200 2.236 -1.093 0.211 2.175 0.506 0.344 1.705 No No
khalil_2013 khalil_2013_exp_001 khalil_2013_exp_001_assay_009 Japanese medaka chlorpyrifos frequency NA 0.222 0.128 2.799 -0.772 0.200 2.236 -0.994 0.328 1.747 0.358 0.339 1.718 No No
khalil_2013 khalil_2013_exp_001 khalil_2013_exp_001_assay_010 Japanese medaka chlorpyrifos frequency NA 0.026 0.022 6.773 -0.987 0.200 2.236 -1.014 0.222 2.123 0.096 0.334 1.731 No No
khalil_2017 khalil_2017_exp_001 khalil_2017_exp_001_assay_001 Japanese medaka chlorpyrifos frequency NA -0.152 0.036 5.281 -0.095 0.333 1.732 0.057 0.369 1.646 -0.492 0.515 1.393 No No
khalil_2017 khalil_2017_exp_001 khalil_2017_exp_001_assay_002 Japanese medaka chlorpyrifos frequency NA 0.314 0.020 7.034 1.070 0.333 1.732 0.757 0.354 1.682 1.216 0.592 1.299 No No
khalil_2017 khalil_2017_exp_001 khalil_2017_exp_001_assay_003 Japanese medaka chlorpyrifos frequency NA -1.068 0.017 7.719 -2.148 0.333 1.732 -1.080 0.350 1.690 -3.264 1.166 0.926 No No
khalil_2017 khalil_2017_exp_002 khalil_2017_exp_002_assay_001 Japanese medaka chlorpyrifos frequency NA -1.191 0.036 5.263 -1.127 0.333 1.732 0.063 0.369 1.645 -3.127 1.111 0.949 No No
khalil_2017 khalil_2017_exp_001 khalil_2017_exp_001_assay_004 Japanese medaka chlorpyrifos duration NA 0.000 0.062 4.022 0.000 0.333 1.732 0.000 0.395 1.591 0.000 0.500 1.414 No No
khalil_2017 khalil_2017_exp_001 khalil_2017_exp_001_assay_005 Japanese medaka chlorpyrifos duration NA 0.000 0.028 5.999 0.000 0.333 1.732 0.000 0.361 1.664 0.000 0.500 1.414 No No
khalil_2017 khalil_2017_exp_001 khalil_2017_exp_001_assay_006 Japanese medaka chlorpyrifos duration NA 0.000 0.026 6.175 0.000 0.333 1.732 0.000 0.360 1.668 0.000 0.500 1.414 No No
khalil_2017 khalil_2017_exp_002 khalil_2017_exp_002_assay_002 Japanese medaka chlorpyrifos duration NA 0.000 0.062 4.022 0.000 0.333 1.732 0.000 0.395 1.591 0.000 0.500 1.414 No No
khalil_2017 khalil_2017_exp_001 khalil_2017_exp_001_assay_007 Japanese medaka chlorpyrifos frequency NA -0.147 0.020 7.007 0.230 0.333 1.732 0.377 0.354 1.681 -0.648 0.526 1.379 No No
khalil_2017 khalil_2017_exp_001 khalil_2017_exp_001_assay_008 Japanese medaka chlorpyrifos frequency NA 0.032 0.025 6.332 0.981 0.333 1.732 0.949 0.358 1.671 0.122 0.501 1.413 No No
khalil_2017 khalil_2017_exp_001 khalil_2017_exp_001_assay_009 Japanese medaka chlorpyrifos frequency NA -0.067 0.023 6.541 -0.117 0.333 1.732 -0.050 0.357 1.674 -0.269 0.505 1.408 No No
khalil_2017 khalil_2017_exp_002 khalil_2017_exp_002_assay_003 Japanese medaka chlorpyrifos frequency NA -0.917 0.036 5.252 -0.158 0.333 1.732 0.759 0.370 1.645 -3.473 1.254 0.893 No No
khalil_2017 khalil_2017_exp_001 khalil_2017_exp_001_assay_010 Japanese medaka chlorpyrifos duration NA -0.147 0.020 7.007 0.230 0.333 1.732 0.377 0.354 1.681 -0.648 0.526 1.379 No No
khalil_2017 khalil_2017_exp_001 khalil_2017_exp_001_assay_011 Japanese medaka chlorpyrifos duration NA 0.032 0.025 6.332 0.981 0.333 1.732 0.949 0.358 1.671 0.122 0.501 1.413 No No
khalil_2017 khalil_2017_exp_001 khalil_2017_exp_001_assay_012 Japanese medaka chlorpyrifos duration NA -0.067 0.023 6.541 -0.117 0.333 1.732 -0.050 0.357 1.674 -0.269 0.505 1.408 No No
khalil_2017 khalil_2017_exp_002 khalil_2017_exp_002_assay_004 Japanese medaka chlorpyrifos duration NA -0.917 0.036 5.252 -0.158 0.333 1.732 0.759 0.370 1.645 -3.473 1.254 0.893 No No
lei_2022 lei_2022_exp_001 lei_2022_exp_001_assay_001 zebrafish deltamethrin proportion of time in near zone NA 0.055 0.001 38.992 -0.256 0.067 3.873 -0.310 0.067 3.854 0.743 0.134 2.736 No No
lei_2022 lei_2022_exp_002 lei_2022_exp_002_assay_001 zebrafish deltamethrin proportion of time in near zone NA 0.057 0.001 40.021 -0.331 0.067 3.873 -0.389 0.067 3.855 0.800 0.135 2.722 No No
lei_2022 lei_2022_exp_003 lei_2022_exp_003_assay_001 zebrafish deltamethrin proportion of time in near zone NA 0.045 0.001 37.855 -0.185 0.067 3.873 -0.230 0.067 3.853 0.585 0.130 2.770 No No
lei_2022 lei_2022_exp_001 lei_2022_exp_001_assay_002 zebrafish deltamethrin nearest neighbour distance change -0.109 0.002 22.202 0.210 0.043 4.796 0.102 0.046 4.688 0.679 0.088 3.368 No No
lei_2022 lei_2022_exp_002 lei_2022_exp_002_assay_002 zebrafish deltamethrin nearest neighbour distance change 0.061 0.001 28.213 -0.547 0.043 4.796 -0.486 0.045 4.728 -0.483 0.086 3.415 No No
lei_2022 lei_2022_exp_003 lei_2022_exp_003_assay_002 zebrafish deltamethrin nearest neighbour distance change -0.042 0.001 27.245 -0.327 0.043 4.796 -0.369 0.045 4.723 0.328 0.084 3.441 No No
lei_2022 lei_2022_exp_001 lei_2022_exp_001_assay_003 zebrafish deltamethrin inter individual difference change -0.355 0.003 16.971 0.355 0.043 4.796 0.000 0.047 4.615 1.670 0.112 2.983 No No
lei_2022 lei_2022_exp_002 lei_2022_exp_002_assay_003 zebrafish deltamethrin inter individual difference change -0.302 0.003 16.971 0.302 0.043 4.796 0.000 0.047 4.615 1.426 0.105 3.093 No No
lei_2022 lei_2022_exp_003 lei_2022_exp_003_assay_003 zebrafish deltamethrin inter individual difference change -0.057 0.003 16.971 0.057 0.043 4.796 0.000 0.047 4.615 0.272 0.084 3.448 No No
leite_2023 leite_2023_exp_001 leite_2023_exp_001_assay_001 Iberian barbel esfenvalerate cohesion change 0.143 0.062 4.002 0.029 0.091 3.317 0.171 0.153 2.554 -0.227 0.168 2.442 No No
leite_2023 leite_2023_exp_002 leite_2023_exp_002_assay_001 Iberian barbel esfenvalerate cohesion change 0.134 0.061 4.044 0.019 0.091 3.317 0.153 0.152 2.564 -0.215 0.168 2.442 No No
leite_2023 leite_2023_exp_003 leite_2023_exp_003_assay_001 Bleak esfenvalerate cohesion change -1.125 0.078 3.575 0.091 0.091 3.317 -1.034 0.169 2.432 2.097 0.258 1.968 No No
leite_2023 leite_2023_exp_004 leite_2023_exp_004_assay_001 Bleak esfenvalerate cohesion change -1.058 0.086 3.404 0.350 0.091 3.317 -0.708 0.177 2.375 1.619 0.221 2.126 No No
lin_2024 lin_2024_exp_001 lin_2024_exp_001_assay_001 zebrafish DDT inter-individual distance change 0.167 0.001 36.457 0.032 1.000 1.000 0.199 1.001 1.000 -3.474 2.509 0.631 No No
lin_2024 lin_2024_exp_002 lin_2024_exp_002_assay_001 zebrafish DDT inter-individual distance change 0.020 0.001 39.448 0.160 1.000 1.000 0.180 1.001 1.000 -0.442 1.024 0.988 No No
lin_2024 lin_2024_exp_001 lin_2024_exp_001_assay_002 zebrafish DDT time in contact percentage NA -0.019 0.000 84.865 -0.129 0.143 2.646 -0.110 0.143 2.644 -0.762 0.268 1.931 No No
lin_2024 lin_2024_exp_002 lin_2024_exp_002_assay_002 zebrafish DDT time in contact percentage NA -0.091 0.000 82.316 0.452 0.143 2.646 0.543 0.143 2.644 -3.609 0.657 1.234 No No
lin_2024 lin_2024_exp_001 lin_2024_exp_001_assay_003 zebrafish DDT mirror attack per minute NA 0.399 0.002 21.302 0.395 0.091 3.317 -0.005 0.093 3.277 3.249 0.387 1.608 No No
lin_2024 lin_2024_exp_002 lin_2024_exp_002_assay_003 zebrafish DDT mirror attack per minute NA -0.254 0.003 18.610 -0.271 0.091 3.317 -0.017 0.094 3.265 -1.836 0.237 2.055 No No
liu_2023 liu_2023_exp_001 liu_2023_exp_001_assay_001 zebrafish fenpropathrin time in conspecific segment NA 0.283 0.219 2.137 0.327 0.111 3.000 0.045 0.330 1.741 0.253 0.202 2.227 No No
liu_2023 liu_2023_exp_001 liu_2023_exp_001_assay_002 zebrafish fenpropathrin duration of fight control vs fenpropathrin NA -0.600 0.094 3.269 -0.109 0.097 3.207 0.491 0.191 2.289 -0.867 0.193 2.275 No No
liu_2023 liu_2023_exp_001 liu_2023_exp_001_assay_003 zebrafish fenpropathrin biting numbers NA -0.234 0.026 6.253 -0.086 0.127 2.806 0.148 0.153 2.560 -0.664 0.237 2.053 No No
liu_2023a liu_2023a_exp_001 liu_2023a_exp_001_assay_001 zebrafish imidacloprid time spent in conspecific zone NA 0.021 0.002 21.258 0.087 0.077 3.606 0.066 0.079 3.555 0.166 0.143 2.641 No No
liu_2023a liu_2023a_exp_002 liu_2023a_exp_002_assay_001 zebrafish imidacloprid time spent in conspecific zone NA 0.048 0.003 19.374 0.276 0.077 3.606 0.228 0.080 3.545 0.342 0.145 2.627 No No
liu_2023a liu_2023a_exp_003 liu_2023a_exp_003_assay_001 zebrafish imidacloprid time spent in conspecific zone NA 0.117 0.001 27.527 -0.526 0.077 3.606 -0.643 0.078 3.575 1.214 0.169 2.431 No No
maclaren_2023 maclaren_2023_exp_001 maclaren_2023_exp_001_assay_001 sailfin mollie atrazine time in preference zone of female NA 0.022 0.011 9.709 0.176 0.053 4.359 0.154 0.063 3.977 0.066 0.100 3.161 Yes Yes
maclaren_2023 maclaren_2023_exp_002 maclaren_2023_exp_002_assay_001 sailfin mollie atrazine time in preference zone of female NA -0.051 0.011 9.709 0.103 0.053 4.359 0.154 0.063 3.977 -0.154 0.100 3.158 Yes Yes
maclaren_2023 maclaren_2023_exp_001 maclaren_2023_exp_001_assay_002 sailfin mollie atrazine time in preference zone of male NA -0.553 0.011 9.709 -0.400 0.053 4.359 0.154 0.063 3.977 -1.632 0.133 2.739 Yes Yes
maclaren_2023 maclaren_2023_exp_002 maclaren_2023_exp_002_assay_002 sailfin mollie atrazine time in preference zone of male NA -0.299 0.011 9.709 -0.145 0.053 4.359 0.154 0.063 3.977 -0.903 0.110 3.012 Yes Yes
maclaren_2023 maclaren_2023_exp_003 maclaren_2023_exp_003_assay_001 sailfin mollie atrazine time in preference zone of female NA -0.383 0.011 9.709 -0.229 0.053 4.359 0.154 0.063 3.977 -1.150 0.117 2.929 Yes Yes
maclaren_2023 maclaren_2023_exp_004 maclaren_2023_exp_004_assay_001 sailfin mollie atrazine time in preference zone of female NA -0.363 0.011 9.709 -0.209 0.053 4.359 0.154 0.063 3.977 -1.092 0.115 2.950 Yes Yes
maclaren_2023 maclaren_2023_exp_003 maclaren_2023_exp_003_assay_002 sailfin mollie atrazine time in preference zone of male NA -0.373 0.011 9.709 -0.220 0.053 4.359 0.154 0.063 3.977 -1.123 0.116 2.939 Yes Yes
maclaren_2023 maclaren_2023_exp_004 maclaren_2023_exp_004_assay_002 sailfin mollie atrazine time in preference zone of male NA -0.303 0.011 9.709 -0.149 0.053 4.359 0.154 0.063 3.977 -0.915 0.110 3.009 Yes Yes
maclaren_2023 maclaren_2023_exp_003 maclaren_2023_exp_003_assay_003 sailfin mollie atrazine mean total time with dummy NA -0.269 0.011 9.709 -0.115 0.053 4.359 0.154 0.063 3.977 -0.813 0.108 3.039 Yes Yes
maclaren_2023 maclaren_2023_exp_004 maclaren_2023_exp_004_assay_003 sailfin mollie atrazine mean total time with dummy NA -0.187 0.011 9.709 -0.033 0.053 4.359 0.154 0.063 3.977 -0.567 0.104 3.101 Yes Yes
maclaren_2023 maclaren_2023_exp_003 maclaren_2023_exp_003_assay_004 sailfin mollie atrazine mean total time with dummy NA -0.376 0.011 9.709 -0.223 0.053 4.359 0.154 0.063 3.977 -1.132 0.116 2.936 Yes Yes
maclaren_2023 maclaren_2023_exp_004 maclaren_2023_exp_004_assay_004 sailfin mollie atrazine mean total time with dummy NA -0.336 0.011 9.709 -0.183 0.053 4.359 0.154 0.063 3.977 -1.015 0.113 2.977 Yes Yes
maclaren_2023 maclaren_2023_exp_001 maclaren_2023_exp_001_assay_003 sailfin mollie atrazine time with smaller male (small and intermediate male present) NA 0.257 0.046 4.683 0.838 0.053 4.359 0.581 0.098 3.191 0.346 0.101 3.139 No No
maclaren_2023 maclaren_2023_exp_002 maclaren_2023_exp_002_assay_003 sailfin mollie atrazine time with smaller male (small and intermediate male present) NA 0.292 0.038 5.161 0.742 0.053 4.359 0.449 0.090 3.330 0.434 0.102 3.126 No No
maclaren_2023 maclaren_2023_exp_001 maclaren_2023_exp_001_assay_004 sailfin mollie atrazine time with larger male (small and intermediate male present) NA -0.176 0.035 5.358 0.686 0.053 4.359 0.861 0.087 3.381 -0.309 0.101 3.144 No No
maclaren_2023 maclaren_2023_exp_002 maclaren_2023_exp_002_assay_004 sailfin mollie atrazine time with larger male (small and intermediate male present) NA 0.011 0.023 6.594 0.617 0.053 4.359 0.606 0.076 3.636 0.022 0.100 3.162 No No
maclaren_2023 maclaren_2023_exp_001 maclaren_2023_exp_001_assay_005 sailfin mollie atrazine time with smaller male (small and large male present) NA 0.059 0.070 3.793 1.297 0.053 4.359 1.238 0.122 2.861 0.068 0.100 3.161 No No
maclaren_2023 maclaren_2023_exp_002 maclaren_2023_exp_002_assay_005 sailfin mollie atrazine time with smaller male (small and large male present) NA 0.000 0.024 6.449 0.621 0.053 4.359 0.620 0.077 3.611 0.000 0.100 3.162 No No
maclaren_2023 maclaren_2023_exp_001 maclaren_2023_exp_001_assay_006 sailfin mollie atrazine time with larger male (small and large male present) NA -0.225 0.038 5.117 1.087 0.053 4.359 1.313 0.091 3.318 -0.394 0.102 3.132 No No
maclaren_2023 maclaren_2023_exp_002 maclaren_2023_exp_002_assay_006 sailfin mollie atrazine time with larger male (small and large male present) NA -0.225 0.038 5.117 1.087 0.053 4.359 1.313 0.091 3.318 -0.394 0.102 3.132 No No
maclaren_2023 maclaren_2023_exp_001 maclaren_2023_exp_001_assay_007 sailfin mollie atrazine time with smaller male (intermediate and large male present) NA 0.002 0.046 4.680 0.850 0.053 4.359 0.848 0.098 3.190 0.003 0.100 3.162 No No
maclaren_2023 maclaren_2023_exp_002 maclaren_2023_exp_002_assay_007 sailfin mollie atrazine time with smaller male (intermediate and large male present) NA 0.219 0.032 5.559 0.855 0.053 4.359 0.637 0.085 3.430 0.353 0.102 3.138 No No
maclaren_2023 maclaren_2023_exp_001 maclaren_2023_exp_001_assay_008 sailfin mollie atrazine time with larger male (intermediate and large male present) NA -0.519 0.042 4.863 0.650 0.053 4.359 1.170 0.095 3.246 -0.953 0.111 2.997 No No
maclaren_2023 maclaren_2023_exp_002 maclaren_2023_exp_002_assay_008 sailfin mollie atrazine time with larger male (intermeditate and large male present) NA -0.303 0.029 5.873 0.656 0.053 4.359 0.958 0.082 3.500 -0.612 0.105 3.091 No No
maclaren_2023 maclaren_2023_exp_003 maclaren_2023_exp_003_assay_005 sailfin mollie atrazine mean time in mirror zone NA -1.155 0.011 9.709 -1.001 0.053 4.359 0.154 0.063 3.977 -2.972 0.210 2.180 Yes Yes
maclaren_2023 maclaren_2023_exp_004 maclaren_2023_exp_004_assay_005 sailfin mollie atrazine mean time in mirror zone NA -0.711 0.011 9.709 -0.557 0.053 4.359 0.154 0.063 3.977 -2.040 0.152 2.565 Yes Yes
oliveira_2024 oliveira_2024_exp_001 oliveira_2024_exp_001_assay_001 zebrafish carbendazim mean number of recordings NA -0.263 0.046 4.679 -0.467 0.049 4.526 -0.204 0.094 3.253 -0.351 0.095 3.253 No No
oliveira_2024 oliveira_2024_exp_001 oliveira_2024_exp_001_assay_002 zebrafish carbendazim mean number of recordings NA -0.156 0.031 5.713 -0.040 0.048 4.577 0.116 0.078 3.572 -0.266 0.092 3.299 No No
oliveira_2024 oliveira_2024_exp_001 oliveira_2024_exp_001_assay_003 zebrafish carbendazim mean number of recordings NA -0.464 0.019 7.263 -0.851 0.048 4.583 -0.387 0.067 3.876 -0.888 0.100 3.164 No No
oliveira_2024 oliveira_2024_exp_001 oliveira_2024_exp_001_assay_004 zebrafish carbendazim mean number of recordings NA -0.711 0.012 9.310 -0.791 0.046 4.686 -0.080 0.057 4.185 -1.734 0.120 2.889 No No
olsen_2020 olsen_2020_exp_001 olsen_2020_exp_001_assay_001 brown trout iodocarb time with females NA 0.406 0.211 2.175 2.348 0.208 2.191 1.942 0.420 1.544 0.330 0.347 1.697 No No
paredes_2019 paredes_2019_exp_001 paredes_2019_exp_001_assay_001 zebrafish triadimefon number of bites towards its reflex NA 0.376 0.079 3.558 -0.141 0.167 2.449 -0.517 0.246 2.018 0.713 0.304 1.814 No No
sanchez_2021 sanchez_2021_exp_001 sanchez_2021_exp_001_assay_001 killifish roundup duration NA -0.056 0.002 21.199 0.341 0.053 4.359 0.397 0.055 4.270 -0.370 0.102 3.135 No No
sanchez_2021 sanchez_2021_exp_002 sanchez_2021_exp_002_assay_001 killifish roundup transorb duration NA -0.067 0.002 22.754 0.223 0.053 4.359 0.290 0.055 4.281 -0.478 0.103 3.118 No No
sanchez_2021 sanchez_2021_exp_003 sanchez_2021_exp_003_assay_001 killifish roundup WG duration NA -0.173 0.003 19.502 0.341 0.053 4.359 0.514 0.055 4.254 -1.083 0.115 2.953 No No
sanchez_2021 sanchez_2021_exp_001 sanchez_2021_exp_001_assay_002 killifish roundup time close to mirror NA 0.060 0.003 18.652 -0.182 0.053 4.359 -0.242 0.056 4.245 0.348 0.102 3.139 No No
sanchez_2021 sanchez_2021_exp_002 sanchez_2021_exp_002_assay_002 killifish roundup transorb time close to mirror NA -0.002 0.003 17.857 -0.137 0.053 4.359 -0.135 0.056 4.235 -0.012 0.100 3.162 No No
sanchez_2021 sanchez_2021_exp_003 sanchez_2021_exp_003_assay_002 killifish roundup WG time close to mirror NA 0.031 0.003 18.109 -0.137 0.053 4.359 -0.168 0.056 4.238 0.174 0.100 3.156 No No
sanchez_2021 sanchez_2021_exp_001 sanchez_2021_exp_001_assay_003 killifish roundup time taken by pursuits NA 0.238 0.197 2.254 0.106 0.053 4.359 -0.132 0.249 2.002 0.167 0.100 3.157 No No
sanchez_2021 sanchez_2021_exp_002 sanchez_2021_exp_002_assay_003 killifish roundup transorb time taken by pursuits NA -0.789 0.174 2.399 -1.079 0.053 4.359 -0.289 0.226 2.102 -0.480 0.103 3.118 No No
sanchez_2021 sanchez_2021_exp_003 sanchez_2021_exp_003_assay_003 killifish roundup WG time taken by pursuits NA -0.311 0.182 2.343 -0.537 0.053 4.359 -0.226 0.235 2.064 -0.214 0.101 3.153 No No
sanchez_2021 sanchez_2021_exp_001 sanchez_2021_exp_001_assay_004 killifish roundup number of pursuits NA -0.076 0.065 3.914 0.348 0.053 4.359 0.424 0.118 2.912 -0.093 0.100 3.161 No No
sanchez_2021 sanchez_2021_exp_002 sanchez_2021_exp_002_assay_004 killifish roundup transorb number of pursuits NA -0.716 0.101 3.151 -0.005 0.053 4.359 0.711 0.153 2.554 -0.803 0.108 3.042 No No
sanchez_2021 sanchez_2021_exp_003 sanchez_2021_exp_003_assay_004 killifish roundup WG number of pursuits NA -0.174 0.062 4.026 0.210 0.053 4.359 0.384 0.114 2.957 -0.222 0.101 3.153 No No
sanchez_2021 sanchez_2021_exp_001 sanchez_2021_exp_001_assay_005 killifish roundup attempts at copulation NA -0.186 0.100 3.163 -0.352 0.053 4.359 -0.166 0.153 2.560 -0.179 0.100 3.156 No No
sanchez_2021 sanchez_2021_exp_002 sanchez_2021_exp_002_assay_005 killifish roundup transorb attempts at copulation NA -0.973 0.202 2.227 -0.521 0.053 4.359 0.451 0.254 1.983 -0.687 0.106 3.073 No No
sanchez_2021 sanchez_2021_exp_003 sanchez_2021_exp_003_assay_005 killifish roundup WG attempts at copulation NA -0.619 0.115 2.947 -0.630 0.053 4.359 -0.010 0.168 2.441 -0.524 0.103 3.109 No No
sanchez_2021 sanchez_2021_exp_001 sanchez_2021_exp_001_assay_006 killifish roundup number of actual copulations NA -0.006 0.146 2.621 -0.464 0.053 4.359 -0.458 0.198 2.246 -0.005 0.100 3.162 No No
sanchez_2021 sanchez_2021_exp_002 sanchez_2021_exp_002_assay_006 killifish roundup transorb number of actual copulations NA -1.130 0.197 2.255 -1.187 0.053 4.359 -0.057 0.249 2.003 -0.623 0.105 3.088 No No
sanchez_2021 sanchez_2021_exp_003 sanchez_2021_exp_003_assay_006 killifish roundup WG number of actual copulations NA -0.604 0.143 2.649 -1.100 0.053 4.359 -0.496 0.195 2.264 -0.414 0.102 3.129 No No
schmidel_2014 schmidel_2014_exp_001 schmidel_2014_exp_001_assay_001 zebrafish atrazine distance NA -0.047 0.003 17.402 -1.099 0.143 2.646 -1.051 0.146 2.616 -0.382 0.255 1.982 No No
schmidel_2014 schmidel_2014_exp_002 schmidel_2014_exp_002_assay_001 zebrafish atrazine distance NA 0.229 0.012 9.077 0.799 0.143 2.646 0.570 0.155 2.540 0.919 0.276 1.902 No No
schmidel_2014 schmidel_2014_exp_001 schmidel_2014_exp_001_assay_002 zebrafish atrazine nearest neighbour distance change 0.105 0.002 20.364 -0.492 0.143 2.646 -0.388 0.145 2.624 -0.986 0.280 1.889 No No
schmidel_2014 schmidel_2014_exp_002 schmidel_2014_exp_002_assay_002 zebrafish atrazine nearest neighbour distance change -0.181 0.012 9.279 1.080 0.143 2.646 0.899 0.154 2.544 0.743 0.267 1.934 No No
schmidel_2014 schmidel_2014_exp_001 schmidel_2014_exp_001_assay_003 zebrafish atrazine farthest neighbour distance change 0.014 0.004 16.133 -0.368 0.143 2.646 -0.354 0.147 2.611 -0.105 0.250 1.999 No No
schmidel_2014 schmidel_2014_exp_002 schmidel_2014_exp_002_assay_003 zebrafish atrazine farthest neighbour distance change -0.252 0.012 9.245 0.885 0.143 2.646 0.633 0.155 2.544 1.019 0.282 1.882 No No
schmidel_2014 schmidel_2014_exp_001 schmidel_2014_exp_001_assay_004 zebrafish atrazine shoal area change 0.152 0.010 9.874 -0.544 0.143 2.646 -0.392 0.153 2.556 -0.686 0.265 1.944 No No
schmidel_2014 schmidel_2014_exp_002 schmidel_2014_exp_002_assay_004 zebrafish atrazine shoal area change -0.679 0.063 3.989 1.714 0.143 2.646 1.035 0.206 2.205 0.970 0.279 1.892 No No
schmidel_2014 schmidel_2014_exp_001 schmidel_2014_exp_001_assay_005 zebrafish atrazine total number of interactions NA 0.059 0.005 13.975 -0.533 0.143 2.646 -0.592 0.148 2.600 0.399 0.255 1.980 No No
schmidel_2014 schmidel_2014_exp_002 schmidel_2014_exp_002_assay_005 zebrafish atrazine total number of interactions NA -0.294 0.018 7.452 0.346 0.143 2.646 0.640 0.161 2.493 -1.110 0.288 1.862 No No
shenoy_2012 shenoy_2012_exp_001 shenoy_2012_exp_001_assay_001 guppy atrazine number of displays in absence of competing male NA -0.344 0.052 4.403 0.349 0.062 4.000 0.693 0.114 2.961 -0.553 0.122 2.861 No No
shenoy_2012 shenoy_2012_exp_002 shenoy_2012_exp_002_assay_001 guppy atrazine number of displays in absence of competing male NA -0.409 0.054 4.292 0.316 0.062 4.000 0.724 0.117 2.926 -0.652 0.124 2.841 No No
shenoy_2012 shenoy_2012_exp_001 shenoy_2012_exp_001_assay_002 guppy atrazine number of mating attempts in absence of competing male NA 0.155 0.039 5.073 0.563 0.062 4.000 0.408 0.101 3.141 0.255 0.119 2.904 No No
shenoy_2012 shenoy_2012_exp_002 shenoy_2012_exp_002_assay_002 guppy atrazine number of mating attempts in absence of competing male NA -0.181 0.054 4.307 0.450 0.062 4.000 0.630 0.116 2.931 -0.273 0.119 2.902 No No
silva_2005 silva_2005_exp_001 silva_2005_exp_001_assay_001 guppy chlorpyrifos number of gonopodial thrusts NA -0.397 0.001 40.799 -0.226 0.014 8.426 0.171 0.015 8.252 -2.691 0.053 4.347 No No
silva_2005 silva_2005_exp_002 silva_2005_exp_002_assay_001 guppy chlorpyrifos number of gonopodial thrusts NA -1.023 0.001 28.946 -0.358 0.014 8.426 0.665 0.015 8.090 -5.511 0.133 2.740 No No
stungaru_2019 stungaru_2019_exp_001 stungaru_2019_exp_001_assay_001 zebrafish deltamethrin percentage of time in left arm NA 0.743 0.088 3.368 0.293 0.026 6.245 -0.450 0.114 2.964 0.583 0.052 4.380 No No
stungaru_2019 stungaru_2019_exp_001 stungaru_2019_exp_001_assay_002 zebrafish deltamethrin percentage of time in left arm NA 0.048 0.070 3.790 -0.297 0.026 6.245 -0.344 0.095 3.240 0.040 0.050 4.472 No No
stungaru_2019 stungaru_2019_exp_001 stungaru_2019_exp_001_assay_003 zebrafish deltamethrin percentage of time in left arm NA 0.904 0.085 3.427 0.672 0.026 6.245 -0.233 0.111 3.004 0.648 0.053 4.359 No No
stungaru_2019 stungaru_2019_exp_001 stungaru_2019_exp_001_assay_004 zebrafish deltamethrin percentage of time in left arm NA 0.132 0.039 5.066 -0.011 0.026 6.245 -0.143 0.065 3.934 0.149 0.050 4.466 No No
stungaru_2019 stungaru_2019_exp_001 stungaru_2019_exp_001_assay_005 zebrafish deltamethrin percentage of time in left arm NA 0.321 0.106 3.073 0.318 0.026 6.245 -0.003 0.132 2.758 0.214 0.050 4.459 No No
stungaru_2019 stungaru_2019_exp_001 stungaru_2019_exp_001_assay_006 zebrafish deltamethrin percentage of time in left arm NA 1.024 0.126 2.815 0.012 0.026 6.245 -1.013 0.152 2.566 0.832 0.054 4.290 No No
stungaru_2019 stungaru_2019_exp_001 stungaru_2019_exp_001_assay_007 zebrafish deltamethrin percentage of time in left arm NA 0.689 0.065 3.918 -0.016 0.026 6.245 -0.706 0.091 3.319 0.685 0.053 4.347 No No
stungaru_2019 stungaru_2019_exp_001 stungaru_2019_exp_001_assay_008 zebrafish deltamethrin percentage of time in left arm NA 0.789 0.100 3.156 -0.013 0.026 6.245 -0.802 0.126 2.817 0.655 0.053 4.357 No No
stungaru_2019 stungaru_2019_exp_001 stungaru_2019_exp_001_assay_009 zebrafish deltamethrin percentage of time in left arm NA 1.020 0.082 3.500 0.552 0.026 6.245 -0.468 0.107 3.053 0.809 0.054 4.300 No No
stungaru_2019 stungaru_2019_exp_001 stungaru_2019_exp_001_assay_010 zebrafish deltamethrin percentage of time in left arm NA 0.476 0.053 4.356 -0.142 0.026 6.245 -0.618 0.078 3.573 0.505 0.052 4.403 No No
stungaru_2019 stungaru_2019_exp_001 stungaru_2019_exp_001_assay_011 zebrafish deltamethrin percentage of time in left arm NA 0.581 0.065 3.927 -0.113 0.026 6.245 -0.694 0.090 3.325 0.571 0.052 4.384 No No
stungaru_2019 stungaru_2019_exp_001 stungaru_2019_exp_001_assay_012 zebrafish deltamethrin percentage of time in left arm NA 1.162 0.054 4.316 -0.198 0.026 6.245 -1.359 0.079 3.551 1.675 0.068 3.848 No No
stungaru_2019 stungaru_2019_exp_001 stungaru_2019_exp_001_assay_013 zebrafish deltamethrin percentage of time in left arm NA 0.163 0.046 4.645 -0.359 0.026 6.245 -0.523 0.072 3.727 0.174 0.050 4.464 No No
stungaru_2019 stungaru_2019_exp_001 stungaru_2019_exp_001_assay_014 zebrafish deltamethrin percentage of time in left arm NA 0.846 0.085 3.439 -0.280 0.026 6.245 -1.125 0.110 3.012 0.849 0.055 4.283 No No
stungaru_2019 stungaru_2019_exp_001 stungaru_2019_exp_001_assay_015 zebrafish deltamethrin percentage of time in left arm NA 0.163 0.031 5.685 -0.028 0.026 6.245 -0.191 0.057 4.204 0.207 0.050 4.460 No No
stungaru_2019 stungaru_2019_exp_002 stungaru_2019_exp_002_assay_001 zebrafish deltamethrin percentage of time in left arm NA 0.756 0.094 3.253 0.417 0.026 6.245 -0.339 0.120 2.885 0.550 0.052 4.390 No No
stungaru_2019 stungaru_2019_exp_002 stungaru_2019_exp_002_assay_002 zebrafish deltamethrin percentage of time in left arm NA 0.621 0.054 4.295 -0.266 0.026 6.245 -0.886 0.080 3.539 0.702 0.053 4.340 No No
stungaru_2019 stungaru_2019_exp_002 stungaru_2019_exp_002_assay_003 zebrafish deltamethrin percentage of time in left arm NA 1.355 0.065 3.918 0.653 0.026 6.245 -0.703 0.091 3.319 1.287 0.060 4.071 No No
stungaru_2019 stungaru_2019_exp_002 stungaru_2019_exp_002_assay_004 zebrafish deltamethrin percentage of time in left arm NA 0.311 0.040 5.005 0.195 0.026 6.245 -0.116 0.066 3.906 0.344 0.051 4.440 No No
stungaru_2019 stungaru_2019_exp_002 stungaru_2019_exp_002_assay_005 zebrafish deltamethrin percentage of time in left arm NA 1.210 0.063 3.970 0.392 0.026 6.245 -0.818 0.089 3.350 1.266 0.060 4.082 No No
stungaru_2019 stungaru_2019_exp_002 stungaru_2019_exp_002_assay_006 zebrafish deltamethrin percentage of time in left arm NA 1.286 0.129 2.781 0.368 0.026 6.245 -0.918 0.155 2.541 0.988 0.056 4.222 No No
stungaru_2019 stungaru_2019_exp_002 stungaru_2019_exp_002_assay_007 zebrafish deltamethrin percentage of time in left arm NA 0.911 0.069 3.808 0.337 0.026 6.245 -0.574 0.095 3.251 0.837 0.054 4.288 No No
stungaru_2019 stungaru_2019_exp_002 stungaru_2019_exp_002_assay_008 zebrafish deltamethrin percentage of time in left arm NA 1.055 0.096 3.233 0.088 0.026 6.245 -0.967 0.121 2.871 0.968 0.056 4.231 No No
stungaru_2019 stungaru_2019_exp_002 stungaru_2019_exp_002_assay_009 zebrafish deltamethrin percentage of time in left arm NA 1.354 0.077 3.610 0.766 0.026 6.245 -0.588 0.102 3.126 1.107 0.058 4.164 No No
stungaru_2019 stungaru_2019_exp_002 stungaru_2019_exp_002_assay_010 zebrafish deltamethrin percentage of time in left arm NA 0.735 0.053 4.339 0.134 0.026 6.245 -0.601 0.079 3.564 0.783 0.054 4.310 No No
stungaru_2019 stungaru_2019_exp_002 stungaru_2019_exp_002_assay_011 zebrafish deltamethrin percentage of time in left arm NA 0.922 0.069 3.807 0.367 0.026 6.245 -0.555 0.095 3.251 0.838 0.054 4.288 No No
stungaru_2019 stungaru_2019_exp_002 stungaru_2019_exp_002_assay_012 zebrafish deltamethrin percentage of time in left arm NA 1.158 0.059 4.115 0.280 0.026 6.245 -0.878 0.085 3.436 1.300 0.061 4.064 No No
stungaru_2019 stungaru_2019_exp_002 stungaru_2019_exp_002_assay_013 zebrafish deltamethrin percentage of time in left arm NA 0.511 0.041 4.936 -0.302 0.026 6.245 -0.814 0.067 3.873 0.642 0.053 4.361 No No
stungaru_2019 stungaru_2019_exp_002 stungaru_2019_exp_002_assay_014 zebrafish deltamethrin percentage of time in left arm NA 1.130 0.085 3.421 0.057 0.026 6.245 -1.073 0.111 3.000 1.152 0.058 4.142 No No
stungaru_2019 stungaru_2019_exp_002 stungaru_2019_exp_002_assay_015 zebrafish deltamethrin percentage of time in left arm NA 0.367 0.027 6.098 -0.019 0.026 6.245 -0.386 0.053 4.363 0.516 0.052 4.399 No No
stungaru_2019 stungaru_2019_exp_003 stungaru_2019_exp_003_assay_001 zebrafish deltamethrin percentage of time in left arm NA 0.419 0.075 3.644 -0.383 0.026 6.245 -0.801 0.101 3.148 0.380 0.051 4.432 No No
stungaru_2019 stungaru_2019_exp_003 stungaru_2019_exp_003_assay_002 zebrafish deltamethrin percentage of time in left arm NA 0.338 0.051 4.447 -0.858 0.026 6.245 -1.196 0.076 3.622 0.381 0.051 4.432 No No
stungaru_2019 stungaru_2019_exp_003 stungaru_2019_exp_003_assay_003 zebrafish deltamethrin percentage of time in left arm NA 0.998 0.110 3.011 1.049 0.026 6.245 0.051 0.136 2.712 0.548 0.052 4.390 No No
stungaru_2019 stungaru_2019_exp_003 stungaru_2019_exp_003_assay_004 zebrafish deltamethrin percentage of time in left arm NA 0.053 0.052 4.371 0.203 0.026 6.245 0.151 0.078 3.581 0.051 0.050 4.471 No No
stungaru_2019 stungaru_2019_exp_003 stungaru_2019_exp_003_assay_005 zebrafish deltamethrin percentage of time in left arm NA 1.057 0.077 3.615 0.648 0.026 6.245 -0.409 0.102 3.129 0.837 0.054 4.288 No No
stungaru_2019 stungaru_2019_exp_003 stungaru_2019_exp_003_assay_006 zebrafish deltamethrin percentage of time in left arm NA 0.613 0.133 2.744 -0.214 0.026 6.245 -0.827 0.158 2.512 0.437 0.051 4.420 No No
stungaru_2019 stungaru_2019_exp_003 stungaru_2019_exp_003_assay_007 zebrafish deltamethrin percentage of time in left arm NA 0.759 0.065 3.923 0.046 0.026 6.245 -0.713 0.091 3.322 0.759 0.054 4.319 No No
stungaru_2019 stungaru_2019_exp_003 stungaru_2019_exp_003_assay_008 zebrafish deltamethrin percentage of time in left arm NA 0.933 0.097 3.217 0.003 0.026 6.245 -0.930 0.122 2.860 0.834 0.054 4.290 No No
stungaru_2019 stungaru_2019_exp_003 stungaru_2019_exp_003_assay_009 zebrafish deltamethrin percentage of time in left arm NA 1.018 0.073 3.703 0.312 0.026 6.245 -0.706 0.099 3.185 0.954 0.056 4.237 No No
stungaru_2019 stungaru_2019_exp_003 stungaru_2019_exp_003_assay_010 zebrafish deltamethrin percentage of time in left arm NA 0.358 0.063 3.991 0.048 0.026 6.245 -0.310 0.088 3.363 0.326 0.051 4.443 No No
stungaru_2019 stungaru_2019_exp_003 stungaru_2019_exp_003_assay_011 zebrafish deltamethrin percentage of time in left arm NA 0.661 0.058 4.160 -0.425 0.026 6.245 -1.086 0.083 3.462 0.762 0.054 4.318 No No
stungaru_2019 stungaru_2019_exp_003 stungaru_2019_exp_003_assay_012 zebrafish deltamethrin percentage of time in left arm NA 0.527 0.067 3.878 -0.041 0.026 6.245 -0.568 0.092 3.294 0.494 0.052 4.405 No No
stungaru_2019 stungaru_2019_exp_003 stungaru_2019_exp_003_assay_013 zebrafish deltamethrin percentage of time in left arm NA 0.185 0.044 4.755 -0.435 0.026 6.245 -0.620 0.070 3.783 0.204 0.050 4.461 No No
stungaru_2019 stungaru_2019_exp_003 stungaru_2019_exp_003_assay_014 zebrafish deltamethrin percentage of time in left arm NA 0.824 0.090 3.331 -0.040 0.026 6.245 -0.864 0.116 2.939 0.738 0.053 4.327 No No
stungaru_2019 stungaru_2019_exp_003 stungaru_2019_exp_003_assay_015 zebrafish deltamethrin percentage of time in left arm NA 0.049 0.035 5.380 -0.016 0.026 6.245 -0.065 0.060 4.076 0.058 0.050 4.471 No No
stungaru_2019 stungaru_2019_exp_004 stungaru_2019_exp_004_assay_001 zebrafish deltamethrin percentage of time in left arm NA 0.597 0.104 3.098 0.391 0.026 6.245 -0.206 0.130 2.775 0.404 0.051 4.427 No No
stungaru_2019 stungaru_2019_exp_004 stungaru_2019_exp_004_assay_002 zebrafish deltamethrin percentage of time in left arm NA -0.049 0.076 3.629 -0.273 0.026 6.245 -0.224 0.102 3.138 -0.039 0.050 4.472 No No
stungaru_2019 stungaru_2019_exp_004 stungaru_2019_exp_004_assay_003 zebrafish deltamethrin percentage of time in left arm NA 1.032 0.068 3.847 0.416 0.026 6.245 -0.616 0.093 3.275 0.963 0.056 4.233 No No
stungaru_2019 stungaru_2019_exp_004 stungaru_2019_exp_004_assay_004 zebrafish deltamethrin percentage of time in left arm NA 0.008 0.060 4.091 0.268 0.026 6.245 0.260 0.085 3.422 0.007 0.050 4.472 No No
stungaru_2019 stungaru_2019_exp_004 stungaru_2019_exp_004_assay_005 zebrafish deltamethrin percentage of time in left arm NA 0.964 0.075 3.663 0.511 0.026 6.245 -0.454 0.100 3.160 0.803 0.054 4.302 No No
stungaru_2019 stungaru_2019_exp_004 stungaru_2019_exp_004_assay_006 zebrafish deltamethrin percentage of time in left arm NA 1.105 0.127 2.804 0.124 0.026 6.245 -0.981 0.153 2.558 0.887 0.055 4.267 No No
stungaru_2019 stungaru_2019_exp_004 stungaru_2019_exp_004_assay_007 zebrafish deltamethrin percentage of time in left arm NA 0.795 0.064 3.950 0.047 0.026 6.245 -0.748 0.090 3.338 0.812 0.054 4.299 No No
stungaru_2019 stungaru_2019_exp_004 stungaru_2019_exp_004_assay_008 zebrafish deltamethrin percentage of time in left arm NA 0.891 0.094 3.254 -0.131 0.026 6.245 -1.022 0.120 2.886 0.827 0.054 4.292 No No
stungaru_2019 stungaru_2019_exp_004 stungaru_2019_exp_004_assay_009 zebrafish deltamethrin percentage of time in left arm NA 1.183 0.073 3.711 0.467 0.026 6.245 -0.716 0.098 3.190 1.100 0.058 4.168 No No
stungaru_2019 stungaru_2019_exp_004 stungaru_2019_exp_004_assay_010 zebrafish deltamethrin percentage of time in left arm NA 0.578 0.048 4.570 -0.301 0.026 6.245 -0.878 0.074 3.688 0.689 0.053 4.345 No No
stungaru_2019 stungaru_2019_exp_004 stungaru_2019_exp_004_assay_011 zebrafish deltamethrin percentage of time in left arm NA 0.424 0.079 3.557 0.100 0.026 6.245 -0.323 0.105 3.091 0.344 0.051 4.439 No No
stungaru_2019 stungaru_2019_exp_004 stungaru_2019_exp_004_assay_012 zebrafish deltamethrin percentage of time in left arm NA 0.983 0.058 4.169 0.009 0.026 6.245 -0.973 0.083 3.467 1.161 0.058 4.137 No No
stungaru_2019 stungaru_2019_exp_004 stungaru_2019_exp_004_assay_013 zebrafish deltamethrin percentage of time in left arm NA 0.229 0.047 4.601 -0.259 0.026 6.245 -0.488 0.073 3.704 0.243 0.050 4.456 No No
stungaru_2019 stungaru_2019_exp_004 stungaru_2019_exp_004_assay_014 zebrafish deltamethrin percentage of time in left arm NA 0.698 0.088 3.366 -0.239 0.026 6.245 -0.937 0.114 2.963 0.635 0.053 4.364 No No
stungaru_2019 stungaru_2019_exp_004 stungaru_2019_exp_004_assay_015 zebrafish deltamethrin percentage of time in left arm NA 0.079 0.027 6.046 -0.281 0.026 6.245 -0.360 0.053 4.344 0.107 0.050 4.469 No No
tamagno_2023 tamagno_2023_exp_001 tamagno_2023_exp_001_assay_001 zebrafish prallethrin time in conspecific segment NA -0.235 NA NA NA NA NA NA NA NA NA NA NA Yes Yes
tamagno_2023 tamagno_2023_exp_002 tamagno_2023_exp_002_assay_001 zebrafish prallethrin time in conspecific segment NA -0.861 NA NA NA NA NA NA NA NA NA NA NA Yes Yes
tamagno_2023 tamagno_2023_exp_003 tamagno_2023_exp_003_assay_001 zebrafish transfluthrin time in conspecific segment NA -0.691 NA NA NA NA NA NA NA NA NA NA NA Yes Yes
tamagno_2023 tamagno_2023_exp_004 tamagno_2023_exp_004_assay_001 zebrafish transfluthrin time in conspecific segment NA -0.475 NA NA NA NA NA NA NA NA NA NA NA Yes Yes
tamagno_2023 tamagno_2023_exp_001 tamagno_2023_exp_001_assay_002 zebrafish prallethrin distance among fish in a shoal change -0.388 0.004 14.923 0.395 0.333 1.732 0.008 0.338 1.721 3.443 1.241 0.898 No No
tamagno_2023 tamagno_2023_exp_002 tamagno_2023_exp_002_assay_002 zebrafish prallethrin distance among fish in a shoal change -0.393 0.004 15.372 0.339 0.333 1.732 -0.053 0.338 1.721 3.630 1.323 0.869 No No
tamagno_2023 tamagno_2023_exp_003 tamagno_2023_exp_003_assay_002 zebrafish transfluthrin distance among fish in a shoal change -0.343 0.005 14.785 0.369 0.333 1.732 0.026 0.338 1.720 3.028 1.073 0.965 No No
tamagno_2023 tamagno_2023_exp_004 tamagno_2023_exp_004_assay_002 zebrafish transfluthrin distance among fish in a shoal change -0.404 0.004 16.017 0.259 0.333 1.732 -0.144 0.337 1.722 3.953 1.477 0.823 No No
teather_2001 teather_2001_exp_001 teather_2001_exp_001_assay_001 Japanese medaka acrobat number of approaches to female NA -0.399 0.057 4.173 -0.377 0.053 4.359 0.022 0.110 3.014 -0.502 0.103 3.114 No No
teather_2001 teather_2001_exp_002 teather_2001_exp_002_assay_001 Japanese medaka acrobat number of approaches to female NA -1.095 0.047 4.608 -1.289 0.053 4.359 -0.195 0.100 3.166 -1.186 0.118 2.916 No No
teather_2001 teather_2001_exp_003 teather_2001_exp_003_assay_001 Japanese medaka acrobat number of approaches to female NA -1.291 0.114 2.957 -0.730 0.053 4.359 0.561 0.167 2.447 -1.208 0.118 2.908 No No
teather_2001 teather_2001_exp_004 teather_2001_exp_004_assay_001 Japanese medaka tattoo c number of approaches to female NA -0.818 0.110 3.018 -0.284 0.053 4.359 0.534 0.162 2.481 -0.825 0.109 3.036 No No
teather_2001 teather_2001_exp_005 teather_2001_exp_005_assay_001 Japanese medaka tattoo c number of approaches to female NA -0.531 0.117 2.925 0.045 0.053 4.359 0.575 0.170 2.429 -0.526 0.103 3.109 No No
teather_2001 teather_2001_exp_006 teather_2001_exp_006_assay_001 Japanese medaka tattoo c number of approaches to female NA -0.893 0.084 3.447 -0.547 0.053 4.359 0.346 0.137 2.704 -0.945 0.111 2.999 No No
yan_2023 yan_2023_exp_001 yan_2023_exp_001_assay_001 zebrafish tebuconazole number of contacts NA -0.893 0.024 6.402 -0.693 0.067 3.873 0.200 0.091 3.314 -1.839 0.178 2.371 No No
yan_2023 yan_2023_exp_001 yan_2023_exp_001_assay_002 zebrafish tebuconazole number of contacts NA -0.394 0.037 5.216 -0.603 0.067 3.873 -0.209 0.103 3.109 -0.662 0.132 2.754 No No
yan_2023 yan_2023_exp_002 yan_2023_exp_002_assay_001 zebrafish tebuconazole number of contacts NA -0.676 0.029 5.900 -0.347 0.067 3.873 0.329 0.095 3.238 -1.397 0.156 2.536 No No
yan_2023 yan_2023_exp_002 yan_2023_exp_002_assay_002 zebrafish tebuconazole number of contacts NA -0.178 0.041 4.933 -0.257 0.067 3.873 -0.079 0.108 3.046 -0.298 0.126 2.813 No No
yan_2023 yan_2023_exp_003 yan_2023_exp_003_assay_001 zebrafish tebuconazole number of contacts NA -0.773 0.025 6.279 -0.541 0.067 3.873 0.232 0.092 3.296 -1.621 0.166 2.454 No No
yan_2023 yan_2023_exp_003 yan_2023_exp_003_assay_002 zebrafish tebuconazole number of contacts NA -0.275 0.038 5.148 -0.451 0.067 3.873 -0.177 0.104 3.095 -0.469 0.128 2.790 No No
yan_2023 yan_2023_exp_004 yan_2023_exp_004_assay_001 zebrafish tebuconazole number of contacts NA -0.156 0.033 5.529 0.814 0.067 3.873 0.970 0.099 3.172 -0.315 0.127 2.811 No No
yan_2023 yan_2023_exp_004 yan_2023_exp_004_assay_002 zebrafish tebuconazole number of contacts NA 0.183 0.043 4.803 0.514 0.067 3.873 0.331 0.110 3.015 0.293 0.126 2.813 No No
yan_2023 yan_2023_exp_005 yan_2023_exp_005_assay_001 zebrafish tebuconazole number of contacts NA -0.732 0.017 7.610 -0.150 0.067 3.873 0.581 0.084 3.452 -2.114 0.195 2.265 No No
yan_2023 yan_2023_exp_005 yan_2023_exp_005_assay_002 zebrafish tebuconazole number of contacts NA -0.392 0.028 5.987 -0.450 0.067 3.873 -0.057 0.095 3.252 -0.776 0.134 2.728 No No
yan_2023 yan_2023_exp_006 yan_2023_exp_006_assay_001 zebrafish tebuconazole number of contacts NA -0.413 0.020 7.063 0.264 0.067 3.873 0.677 0.087 3.396 -1.108 0.144 2.634 No No
yan_2023 yan_2023_exp_006 yan_2023_exp_006_assay_002 zebrafish tebuconazole number of contacts NA -0.074 0.031 5.709 -0.035 0.067 3.873 0.039 0.097 3.205 -0.145 0.125 2.825 No No
yan_2023 yan_2023_exp_007 yan_2023_exp_007_assay_001 zebrafish tebuconazole number of contacts NA -0.607 0.019 7.236 -0.693 0.067 3.873 -0.086 0.086 3.415 -1.377 0.155 2.543 No No
yan_2023 yan_2023_exp_007 yan_2023_exp_007_assay_002 zebrafish tebuconazole number of contacts NA -0.480 0.012 9.180 0.032 0.067 3.873 0.512 0.079 3.568 -1.632 0.167 2.450 No No
yan_2023 yan_2023_exp_008 yan_2023_exp_008_assay_001 zebrafish tebuconazole number of contacts NA -0.120 0.013 8.869 -0.863 0.067 3.873 -0.743 0.079 3.549 -0.352 0.127 2.807 No No
yan_2023 yan_2023_exp_008 yan_2023_exp_008_assay_002 zebrafish tebuconazole number of contacts NA 0.007 0.005 13.506 -0.138 0.067 3.873 -0.145 0.072 3.723 0.034 0.125 2.828 No No
yan_2023 yan_2023_exp_009 yan_2023_exp_009_assay_001 zebrafish tebuconazole number of contacts NA -0.468 0.013 8.608 -1.068 0.067 3.873 -0.600 0.080 3.532 -1.197 0.147 2.605 No No
yan_2023 yan_2023_exp_009 yan_2023_exp_009_assay_002 zebrafish tebuconazole number of contacts NA -0.341 0.006 12.637 -0.343 0.067 3.873 -0.002 0.073 3.703 -1.451 0.158 2.517 No No
yan_2023 yan_2023_exp_001 yan_2023_exp_001_assay_003 zebrafish tebuconazole contact time NA -0.820 0.015 8.181 -0.853 0.067 3.873 -0.033 0.082 3.501 -2.020 0.189 2.302 No No
yan_2023 yan_2023_exp_001 yan_2023_exp_001_assay_004 zebrafish tebuconazole contact time NA -0.179 0.240 2.043 -1.914 0.067 3.873 -1.736 0.306 1.807 -0.116 0.125 2.826 No No
yan_2023 yan_2023_exp_002 yan_2023_exp_002_assay_003 zebrafish tebuconazole contact time NA -0.556 0.052 4.396 0.315 0.067 3.873 0.871 0.118 2.906 -0.986 0.140 2.671 No No
yan_2023 yan_2023_exp_002 yan_2023_exp_002_assay_004 zebrafish tebuconazole contact time NA 0.086 0.276 1.902 -0.746 0.067 3.873 -0.832 0.343 1.707 0.058 0.125 2.828 No No
yan_2023 yan_2023_exp_003 yan_2023_exp_003_assay_003 zebrafish tebuconazole contact time NA -0.446 0.138 2.693 0.967 0.067 3.873 1.412 0.205 2.211 -0.501 0.129 2.785 No No
yan_2023 yan_2023_exp_003 yan_2023_exp_003_assay_004 zebrafish tebuconazole contact time NA 0.196 0.362 1.661 -0.094 0.067 3.873 -0.290 0.429 1.526 0.114 0.125 2.826 No No
yan_2023 yan_2023_exp_004 yan_2023_exp_004_assay_003 zebrafish tebuconazole contact time NA -0.130 0.030 5.760 0.553 0.067 3.873 0.683 0.097 3.214 -0.268 0.126 2.816 No No
yan_2023 yan_2023_exp_004 yan_2023_exp_004_assay_004 zebrafish tebuconazole contact time NA 0.077 0.041 4.926 0.245 0.067 3.873 0.167 0.108 3.045 0.131 0.125 2.825 No No
yan_2023 yan_2023_exp_005 yan_2023_exp_005_assay_003 zebrafish tebuconazole contact time NA -0.325 0.029 5.880 0.332 0.067 3.873 0.656 0.096 3.234 -0.712 0.133 2.743 No No
yan_2023 yan_2023_exp_005 yan_2023_exp_005_assay_004 zebrafish tebuconazole contact time NA -0.117 0.040 5.001 0.024 0.067 3.873 0.141 0.107 3.062 -0.203 0.126 2.821 No No
yan_2023 yan_2023_exp_006 yan_2023_exp_006_assay_003 zebrafish tebuconazole contact time NA -0.211 0.047 4.599 0.741 0.067 3.873 0.952 0.114 2.962 -0.360 0.127 2.806 No No
yan_2023 yan_2023_exp_006 yan_2023_exp_006_assay_004 zebrafish tebuconazole contact time NA -0.003 0.058 4.140 0.433 0.067 3.873 0.436 0.125 2.828 -0.005 0.125 2.828 No No
yan_2023 yan_2023_exp_007 yan_2023_exp_007_assay_003 zebrafish tebuconazole contact time NA -0.384 0.016 7.936 -1.402 0.067 3.873 -1.018 0.083 3.481 -0.901 0.138 2.695 No No
yan_2023 yan_2023_exp_007 yan_2023_exp_007_assay_004 zebrafish tebuconazole contact time NA -0.135 0.005 14.541 -0.363 0.067 3.873 -0.228 0.071 3.743 -0.664 0.132 2.754 No No
yan_2023 yan_2023_exp_008 yan_2023_exp_008_assay_003 zebrafish tebuconazole contact time NA -0.639 0.023 6.631 -0.879 0.067 3.873 -0.240 0.089 3.344 -1.268 0.150 2.581 No No
yan_2023 yan_2023_exp_008 yan_2023_exp_008_assay_004 zebrafish tebuconazole contact time NA -0.390 0.012 9.288 0.160 0.067 3.873 0.550 0.078 3.575 -1.341 0.153 2.556 No No
yan_2023 yan_2023_exp_009 yan_2023_exp_009_assay_003 zebrafish tebuconazole contact time NA -0.406 0.019 7.309 -0.956 0.067 3.873 -0.550 0.085 3.422 -0.906 0.138 2.694 No No
yan_2023 yan_2023_exp_009 yan_2023_exp_009_assay_004 zebrafish tebuconazole contact time NA -0.157 0.008 11.491 0.083 0.067 3.873 0.240 0.074 3.670 -0.629 0.131 2.761 No No
yang_2023 yang_2023_exp_001 yang_2023_exp_001_assay_001 zebrafish thiamethoxam shoaling average speed NA -0.019 0.002 20.694 0.000 0.043 4.796 0.019 0.046 4.672 -0.110 0.083 3.461 No No
yang_2023 yang_2023_exp_002 yang_2023_exp_002_assay_001 zebrafish thiamethoxam shoaling average speed NA 0.054 0.002 23.701 -0.241 0.043 4.796 -0.295 0.045 4.701 0.368 0.085 3.435 No No
yang_2023 yang_2023_exp_003 yang_2023_exp_003_assay_001 zebrafish thiamethoxam shoaling average speed NA 0.133 0.002 23.024 -0.085 0.043 4.796 -0.218 0.045 4.695 0.878 0.091 3.308 No No
yang_2023 yang_2023_exp_001 yang_2023_exp_001_assay_002 zebrafish thiamethoxam average fish distance change 0.107 0.001 29.846 -0.334 0.043 4.796 -0.227 0.045 4.735 -0.894 0.092 3.303 No No
yang_2023 yang_2023_exp_002 yang_2023_exp_002_assay_002 zebrafish thiamethoxam average fish distance change 0.072 0.001 29.470 -0.267 0.043 4.796 -0.195 0.045 4.734 -0.600 0.087 3.389 No No
yang_2023 yang_2023_exp_003 yang_2023_exp_003_assay_002 zebrafish thiamethoxam average fish distance change 0.265 0.003 19.572 0.250 0.043 4.796 0.515 0.046 4.658 -1.551 0.108 3.037 No No
yang_2023 yang_2023_exp_001 yang_2023_exp_001_assay_003 zebrafish thiamethoxam maximum inter-fish difference change 0.033 0.000 85.677 -0.014 0.043 4.796 0.019 0.044 4.788 -0.800 0.090 3.333 No No
yang_2023 yang_2023_exp_002 yang_2023_exp_002_assay_003 zebrafish thiamethoxam maximum inter-fish difference change 0.006 0.000 90.524 -0.101 0.043 4.796 -0.095 0.044 4.789 -0.141 0.084 3.460 No No
yang_2023 yang_2023_exp_003 yang_2023_exp_003_assay_003 zebrafish thiamethoxam maximum inter-fish difference change 0.040 0.000 58.776 0.562 0.043 4.796 0.602 0.044 4.780 -0.680 0.088 3.368 No No
yang_2023 yang_2023_exp_001 yang_2023_exp_001_assay_004 zebrafish thiamethoxam time spent in social zone NA 0.104 0.003 17.368 -0.140 0.059 4.123 -0.244 0.062 4.012 0.596 0.116 2.936 No No
yang_2023 yang_2023_exp_002 yang_2023_exp_002_assay_004 zebrafish thiamethoxam time spent in social zone NA 0.335 0.003 18.422 -0.081 0.059 4.123 -0.417 0.062 4.024 2.107 0.173 2.406 No No
yang_2023 yang_2023_exp_003 yang_2023_exp_003_assay_004 zebrafish thiamethoxam time spent in social zone NA 0.025 0.004 15.514 0.037 0.059 4.123 0.011 0.063 3.985 0.128 0.111 2.997 No No
yang_2023 yang_2023_exp_001 yang_2023_exp_001_assay_005 zebrafish thiamethoxam time spent in social zone with familiar fish NA -0.109 0.006 13.076 -0.375 0.059 4.123 -0.266 0.065 3.932 -0.456 0.114 2.962 No No
yang_2023 yang_2023_exp_002 yang_2023_exp_002_assay_005 zebrafish thiamethoxam time spent in social zone with familiar fish NA 0.245 0.007 11.823 0.215 0.059 4.123 -0.030 0.066 3.893 0.936 0.123 2.848 No No
yang_2023 yang_2023_exp_003 yang_2023_exp_003_assay_005 zebrafish thiamethoxam time spent in social zone with familiar fish NA 0.312 0.006 13.372 -0.017 0.059 4.123 -0.329 0.064 3.940 1.402 0.138 2.688 No No
yang_2023 yang_2023_exp_001 yang_2023_exp_001_assay_006 zebrafish thiamethoxam distance to familiar fish change -0.022 0.005 14.507 0.074 0.059 4.123 0.052 0.064 3.966 0.103 0.111 2.998 No No
yang_2023 yang_2023_exp_002 yang_2023_exp_002_assay_006 zebrafish thiamethoxam distance to familiar fish change 0.330 0.008 11.145 0.143 0.059 4.123 0.473 0.067 3.867 -1.264 0.133 2.739 No No
yang_2023 yang_2023_exp_003 yang_2023_exp_003_assay_006 zebrafish thiamethoxam distance to familiar fish change 0.508 0.009 10.360 0.064 0.059 4.123 0.572 0.068 3.831 -1.871 0.160 2.502 No No
yang_2023 yang_2023_exp_001 yang_2023_exp_001_assay_007 zebrafish thiamethoxam number of transition to the attack zone NA 0.076 0.011 9.591 -0.105 0.043 4.796 -0.181 0.054 4.289 0.207 0.084 3.455 No No
yang_2023 yang_2023_exp_002 yang_2023_exp_002_assay_007 zebrafish thiamethoxam number of transition to the attack zone NA 0.000 0.012 9.286 -0.105 0.043 4.796 -0.105 0.055 4.261 0.000 0.083 3.464 No No
yang_2023 yang_2023_exp_003 yang_2023_exp_003_assay_007 zebrafish thiamethoxam number of transition to the attack zone NA 0.317 0.013 8.746 0.336 0.043 4.796 0.020 0.057 4.205 0.768 0.089 3.343 No No
yang_2023 yang_2023_exp_001 yang_2023_exp_001_assay_008 zebrafish thiamethoxam biting time NA -0.184 0.032 5.621 -0.479 0.043 4.796 -0.296 0.075 3.648 -0.284 0.084 3.447 No No
yang_2023 yang_2023_exp_002 yang_2023_exp_002_assay_008 zebrafish thiamethoxam biting time NA -0.237 0.042 4.890 -0.211 0.043 4.796 0.026 0.085 3.424 -0.326 0.084 3.441 No No
yang_2023 yang_2023_exp_003 yang_2023_exp_003_assay_008 zebrafish thiamethoxam biting time NA 0.397 0.042 4.887 0.424 0.043 4.796 0.027 0.085 3.423 0.532 0.086 3.405 No No
zaluski_2022 zaluski_2022_exp_001 zaluski_2022_exp_001_assay_001 zebrafish atrazine time in stimulus zone close to mirror NA 0.188 0.010 9.996 -0.106 0.059 4.123 -0.294 0.069 3.812 0.623 0.117 2.930 No No
zaluski_2022 zaluski_2022_exp_002 zaluski_2022_exp_002_assay_001 zebrafish atrazine time in stimulus zone close to mirror NA 0.180 0.010 9.907 -0.089 0.059 4.123 -0.269 0.069 3.807 0.591 0.116 2.937 No No
zaluski_2022 zaluski_2022_exp_003 zaluski_2022_exp_003_assay_001 zebrafish atrazine time in stimulus zone close to mirror NA 0.195 0.009 10.282 -0.182 0.059 4.123 -0.377 0.068 3.827 0.671 0.117 2.919 No No
zaluski_2022 zaluski_2022_exp_004 zaluski_2022_exp_004_assay_001 zebrafish atrazine time in stimulus zone close to mirror NA 0.169 0.011 9.343 0.046 0.059 4.123 -0.124 0.070 3.772 0.518 0.115 2.951 No No
zaluski_2022 zaluski_2022_exp_005 zaluski_2022_exp_005_assay_001 zebrafish atrazine time in stimulus zone close to mirror NA 0.091 0.013 8.736 0.109 0.059 4.123 0.018 0.072 3.729 0.258 0.112 2.988 No No
zaluski_2022 zaluski_2022_exp_001 zaluski_2022_exp_001_assay_002 zebrafish atrazine number of bites NA 0.059 0.010 10.045 -0.272 0.059 4.123 -0.331 0.069 3.814 0.194 0.112 2.993 No No
zaluski_2022 zaluski_2022_exp_002 zaluski_2022_exp_002_assay_002 zebrafish atrazine number of bites NA 0.071 0.010 9.797 -0.190 0.059 4.123 -0.261 0.069 3.800 0.229 0.112 2.990 No No
zaluski_2022 zaluski_2022_exp_003 zaluski_2022_exp_003_assay_002 zebrafish atrazine number of bites NA 0.063 0.008 11.173 -0.682 0.059 4.123 -0.745 0.067 3.868 0.234 0.112 2.990 No No
zaluski_2022 zaluski_2022_exp_004 zaluski_2022_exp_004_assay_002 zebrafish atrazine number of bites NA 0.127 0.008 11.066 -0.568 0.059 4.123 -0.695 0.067 3.864 0.476 0.114 2.958 No No
zaluski_2022 zaluski_2022_exp_005 zaluski_2022_exp_005_assay_002 zebrafish atrazine number of bites NA 0.084 0.009 10.446 -0.372 0.059 4.123 -0.456 0.068 3.835 0.290 0.112 2.984 No No
zaluski_2022 zaluski_2022_exp_001 zaluski_2022_exp_001_assay_003 zebrafish atrazine time in stimulus zone close to mirror NA -0.071 0.063 3.990 -0.023 0.059 4.123 0.048 0.122 2.867 -0.092 0.111 2.998 No No
zaluski_2022 zaluski_2022_exp_002 zaluski_2022_exp_002_assay_003 zebrafish atrazine time in stimulus zone close to mirror NA -0.250 0.049 4.506 -0.467 0.059 4.123 -0.217 0.108 3.042 -0.353 0.113 2.977 No No
zaluski_2022 zaluski_2022_exp_003 zaluski_2022_exp_003_assay_003 zebrafish atrazine time in stimulus zone close to mirror NA -0.224 0.061 4.054 -0.207 0.059 4.123 0.017 0.120 2.891 -0.293 0.112 2.984 No No
zaluski_2022 zaluski_2022_exp_004 zaluski_2022_exp_004_assay_003 zebrafish atrazine time in stimulus zone close to mirror NA -0.221 0.041 4.926 -0.707 0.059 4.123 -0.486 0.100 3.162 -0.335 0.113 2.979 No No
zaluski_2022 zaluski_2022_exp_005 zaluski_2022_exp_005_assay_003 zebrafish atrazine time in stimulus zone close to mirror NA -0.610 0.063 3.979 -0.556 0.059 4.123 0.053 0.122 2.863 -0.746 0.119 2.901 No No
zaluski_2022 zaluski_2022_exp_001 zaluski_2022_exp_001_assay_004 zebrafish diuron time in stimulus zone close to mirror NA 0.182 0.084 3.451 0.038 0.059 4.123 -0.143 0.143 2.647 0.205 0.112 2.992 No No
zaluski_2022 zaluski_2022_exp_002 zaluski_2022_exp_002_assay_004 zebrafish diuron time in stimulus zone close to mirror NA 0.167 0.088 3.374 0.075 0.059 4.123 -0.092 0.147 2.611 0.184 0.112 2.994 No No
zaluski_2022 zaluski_2022_exp_003 zaluski_2022_exp_003_assay_004 zebrafish diuron time in stimulus zone close to mirror NA 0.200 0.074 3.682 -0.110 0.059 4.123 -0.310 0.133 2.747 0.246 0.112 2.989 No No
zaluski_2022 zaluski_2022_exp_004 zaluski_2022_exp_004_assay_004 zebrafish diuron time in stimulus zone close to mirror NA 0.578 0.066 3.898 0.084 0.059 4.123 -0.494 0.125 2.833 0.788 0.120 2.890 No No
zaluski_2022 zaluski_2022_exp_005 zaluski_2022_exp_005_assay_004 zebrafish diuron time in stimulus zone close to mirror NA 0.450 0.077 3.601 0.201 0.059 4.123 -0.248 0.136 2.712 0.535 0.115 2.948 No No
zaluski_2022 zaluski_2022_exp_001 zaluski_2022_exp_001_assay_005 zebrafish diuron number of bites NA 0.311 0.254 1.985 0.171 0.059 4.123 -0.140 0.313 1.789 0.201 0.112 2.992 No No
zaluski_2022 zaluski_2022_exp_002 zaluski_2022_exp_002_assay_005 zebrafish diuron number of bites NA 0.381 0.303 1.816 0.428 0.059 4.123 0.047 0.362 1.662 0.217 0.112 2.991 No No
zaluski_2022 zaluski_2022_exp_003 zaluski_2022_exp_003_assay_005 zebrafish diuron number of bites NA 0.713 0.220 2.130 0.392 0.059 4.123 -0.322 0.279 1.893 0.500 0.115 2.954 No No
zaluski_2022 zaluski_2022_exp_004 zaluski_2022_exp_004_assay_005 zebrafish diuron number of bites NA 0.611 0.240 2.040 0.406 0.059 4.123 -0.205 0.299 1.829 0.401 0.113 2.970 No No
zaluski_2022 zaluski_2022_exp_005 zaluski_2022_exp_005_assay_005 zebrafish diuron number of bites NA 0.307 0.237 2.056 0.082 0.059 4.123 -0.225 0.295 1.840 0.209 0.112 2.992 No No
zaluski_2022 zaluski_2022_exp_001 zaluski_2022_exp_001_assay_006 zebrafish diuron time in stimulus zone close to mirror NA -0.384 0.589 1.303 0.455 0.059 4.123 0.838 0.648 1.242 -0.183 0.112 2.994 No No
zaluski_2022 zaluski_2022_exp_002 zaluski_2022_exp_002_assay_006 zebrafish diuron time in stimulus zone close to mirror NA 0.497 0.251 1.998 0.762 0.059 4.123 0.265 0.309 1.798 0.291 0.112 2.984 No No
zaluski_2022 zaluski_2022_exp_003 zaluski_2022_exp_003_assay_006 zebrafish diuron time in stimulus zone close to mirror NA 0.444 0.205 2.207 0.540 0.059 4.123 0.096 0.264 1.945 0.301 0.112 2.983 No No
zaluski_2022 zaluski_2022_exp_004 zaluski_2022_exp_004_assay_006 zebrafish diuron time in stimulus zone close to mirror NA 0.445 0.205 2.207 0.541 0.059 4.123 0.096 0.264 1.945 0.301 0.112 2.983 No No
zaluski_2022 zaluski_2022_exp_005 zaluski_2022_exp_005_assay_006 zebrafish diuron time in stimulus zone close to mirror NA -2.146 0.746 1.158 -1.171 0.059 4.123 0.975 0.805 1.115 -0.902 0.122 2.858 No No
zhou_2021 zhou_2021_exp_001 zhou_2021_exp_001_assay_001 marine medaka diuron time spent on the side closest to the mirror NA -0.148 0.029 5.832 -0.757 0.048 4.583 -0.609 0.077 3.603 -0.245 0.092 3.304 No No
zhou_2021 zhou_2021_exp_002 zhou_2021_exp_002_assay_001 marine medaka diuron time spent on the side closest to the mirror NA -0.302 0.039 5.056 -0.463 0.048 4.583 -0.161 0.087 3.395 -0.433 0.093 3.278 No No
zhou_2021 zhou_2021_exp_003 zhou_2021_exp_003_assay_001 marine medaka diuron time spent on the side closest to the mirror NA -0.450 0.025 6.376 -1.686 0.048 4.583 -1.236 0.072 3.721 -0.701 0.096 3.219 No No
zhou_2021 zhou_2021_exp_004 zhou_2021_exp_004_assay_001 marine medaka diuron time spent on the side closest to the mirror NA -0.152 0.034 5.391 -0.482 0.048 4.583 -0.330 0.082 3.492 -0.236 0.092 3.305 No No
zhou_2021 zhou_2021_exp_001 zhou_2021_exp_001_assay_002 marine medaka diuron mirror biting frequency NA 0.116 0.023 6.551 0.234 0.048 4.583 0.118 0.071 3.755 0.222 0.091 3.306 No No
zhou_2021 zhou_2021_exp_002 zhou_2021_exp_002_assay_002 marine medaka diuron mirror biting frequency NA -0.119 0.023 6.548 0.000 0.048 4.583 0.119 0.071 3.754 -0.231 0.092 3.306 No No
zhou_2021 zhou_2021_exp_003 zhou_2021_exp_003_assay_002 marine medaka diuron mirror biting frequency NA -0.189 0.016 8.000 -0.517 0.048 4.583 -0.327 0.063 3.976 -0.433 0.093 3.278 No No
zhou_2021 zhou_2021_exp_004 zhou_2021_exp_004_assay_002 marine medaka diuron mirror biting frequency NA 0.040 0.013 8.800 -0.642 0.048 4.583 -0.682 0.061 4.065 0.106 0.091 3.314 No No
zhou_2021 zhou_2021_exp_001 zhou_2021_exp_001_assay_003 marine medaka diuron cluster score NA 0.183 0.161 2.490 0.369 0.200 2.236 0.186 0.361 1.664 0.237 0.336 1.726 No No
zhou_2021 zhou_2021_exp_002 zhou_2021_exp_002_assay_003 marine medaka diuron cluster score NA -0.069 0.075 3.647 -1.046 0.200 2.236 -0.977 0.275 1.906 -0.131 0.334 1.730 No No
zhou_2021 zhou_2021_exp_003 zhou_2021_exp_003_assay_003 marine medaka diuron cluster score NA -0.290 0.128 2.790 -0.315 0.200 2.236 -0.025 0.328 1.745 -0.422 0.341 1.713 No No
zhou_2021 zhou_2021_exp_004 zhou_2021_exp_004_assay_003 marine medaka diuron cluster score NA -0.532 0.140 2.676 -0.475 0.200 2.236 0.057 0.340 1.716 -0.728 0.355 1.677 No No
zhou_2021 zhou_2021_exp_001 zhou_2021_exp_001_assay_004 marine medaka diuron time spent on the side closest to the seperator NA -0.043 0.016 7.849 -0.056 0.053 4.359 -0.013 0.069 3.811 -0.103 0.100 3.160 No No
zhou_2021 zhou_2021_exp_002 zhou_2021_exp_002_assay_004 marine medaka diuron time spent on the side closest to the seperator NA -0.149 0.016 8.031 -0.210 0.053 4.359 -0.061 0.068 3.831 -0.368 0.102 3.136 No No
zhou_2021 zhou_2021_exp_003 zhou_2021_exp_003_assay_004 marine medaka diuron time spent on the side closest to the seperator NA -0.297 0.019 7.250 -0.161 0.053 4.359 0.137 0.072 3.736 -0.670 0.106 3.077 No No
zhou_2021 zhou_2021_exp_004 zhou_2021_exp_004_assay_004 marine medaka diuron time spent on the side closest to the seperator NA -0.015 0.022 6.715 0.250 0.053 4.359 0.265 0.075 3.656 -0.031 0.100 3.162 No No
zhou_2021 zhou_2021_exp_001 zhou_2021_exp_001_assay_005 marine medaka diuron interaction frequency NA 0.312 0.007 12.196 0.784 0.053 4.359 0.473 0.059 4.105 1.085 0.115 2.953 No No
zhou_2021 zhou_2021_exp_002 zhou_2021_exp_002_assay_005 marine medaka diuron interaction frequency NA 0.349 0.008 11.287 0.926 0.053 4.359 0.577 0.060 4.066 1.098 0.115 2.948 No No
zhou_2021 zhou_2021_exp_003 zhou_2021_exp_003_assay_005 marine medaka diuron interaction frequency NA 0.153 0.007 11.814 0.669 0.053 4.359 0.516 0.060 4.089 0.538 0.104 3.107 No No
zhou_2021 zhou_2021_exp_004 zhou_2021_exp_004_assay_005 marine medaka diuron interaction frequency NA 0.062 0.008 11.460 0.619 0.053 4.359 0.557 0.060 4.074 0.217 0.101 3.153 No No
# Plot the distribution of effect size estimates (lnRR)
lnRR_dist_plot <- effect_size_metrics_set_kable %>%
    ggplot(aes(lnRR)) + geom_histogram(fill = RColorBrewer::brewer.pal(n = 8, name = "Set2")[2],
    col = "black", binwidth = 0.1, alpha = 0.4) + theme_bw() + theme(legend.position = "none",
    plot.title = element_text(face = "bold", hjust = 0.5), axis.title.x = element_text(face = "bold"),
    axis.title.y = element_text(face = "bold"), axis.text.x = element_text(color = "black"),
    axis.text.y = element_text(color = "black"), axis.ticks = element_line(color = "black"),
    plot.caption = element_text(size = 10, color = "gray10", face = "italic")) +
    labs(caption = "Distribution of Effect Size Estimates (lnRR)", x = "lnRR", y = "Frequency")

print(lnRR_dist_plot)

# ggsave(here('figures', 'lnRR_dist_plot.pdf'), plot = lnRR_dist_plot, width =
# 10, height = 5, units = 'cm', scale = 2, dpi = 800) ggsave(here('figures',
# 'lnRR_dist_plot.jpg'), plot = lnRR_dist_plot, width = 10, height = 5, units =
# 'cm', scale = 2, dpi = 800)

# Plot the distribution of effect size estimates (lnVR)
lnVR_dist_plot <- effect_size_metrics_set_kable %>%
    ggplot(aes(lnCVR)) + geom_histogram(fill = RColorBrewer::brewer.pal(n = 8, name = "Set2")[3],
    col = "black", binwidth = 0.1, alpha = 0.4) + theme_bw() + theme(legend.position = "none",
    plot.title = element_text(face = "bold", hjust = 0.5), axis.title.x = element_text(face = "bold"),
    axis.title.y = element_text(face = "bold"), axis.text.x = element_text(color = "black"),
    axis.text.y = element_text(color = "black"), axis.ticks = element_line(color = "black"),
    plot.caption = element_text(size = 10, color = "gray10", face = "italic")) +
    labs(caption = "Distribution of Effect Size Estimates (lnVR)", x = "lnVR", y = "Frequency")

print(lnVR_dist_plot)

# ggsave(here('figures', 'lnVR_dist_plot.pdf'), plot = lnVR_dist_plot, width =
# 10, height = 5, units = 'cm', scale = 2, dpi = 800) ggsave(here('figures',
# 'lnVR_dist_plot.jpg'), plot = lnVR_dist_plot, width = 10, height = 5, units =
# 'cm', scale = 2, dpi = 800)

Dependent effect size estimates

Create phylogentic tree

We used the rotl package (https://peerj.com/preprints/1471/) to retrieve synthetic species tree from Open Tree of Life (https://opentreeoflife.org/).

data <- as.data.frame(data)

data$species_latin = as.factor(data$species_latin)

taxa <- tnrs_match_names(names = levels(data$species_latin), context = "Animals")  # Match species names to the Open Tree of Life taxonomy

kable(taxa)  # Display matched species, ensuring each species has a unique match in the Open Tree of Life
search_string unique_name approximate_match score ott_id is_synonym flags number_matches
alburnus alburnus Alburnus alburnus FALSE 1 957577 FALSE 1
danio rerio Danio rerio FALSE 1 1005914 FALSE 1
jenynsia multidentata Jenynsia multidentata FALSE 1 834785 FALSE 1
luciobarbus bocagei Luciobarbus bocagei FALSE 1 134749 FALSE 1
oreochromis niloticus Oreochromis niloticus FALSE 1 288063 FALSE sibling_higher 1
oryzias latipes Oryzias latipes FALSE 1 942673 FALSE 1
oryzias melastigma Oryzias melastigma FALSE 1 179491 FALSE 2
poecilia latipinna Poecilia latipinna FALSE 1 998174 FALSE 1
poecilia reticulata Poecilia reticulata FALSE 1 312452 FALSE 1
salmo trutta Salmo trutta FALSE 1 688332 FALSE 1
taxa$unique_name <- gsub(" ", "_", taxa$unique_name)  # Replace spaces in species names with underscores

phylo_tree <- tol_induced_subtree(ott_ids = taxa$ott_id, label_format = "name")  # Generate a phylogenetic tree based on the Open Tree of Life taxonomy
ott_in_tree <- ott_id(taxa)[is_in_tree(ott_id(taxa))]  # Ensure all identifiers are present in the taxonomy

phylo_tree <- tol_induced_subtree(ott_ids = ott_in_tree)  # Generate a phylogenetic tree including all species present in the taxonomy
is.binary(phylo_tree)  # Check if tree is binary 
## [1] TRUE
# Plot for the phylogenetic tree
plot(phylo_tree,
     cex= 1, #font size
     label.offset =.1,
     no.margin = TRUE)

# Compute branch length
phylo_branched <- compute.brlen(phylo_tree, method = "Grafen", power = 1)  # compute branch lengths using Grafen's method

phylo_branched$tip.label <- strip_ott_ids(phylo_branched$tip.label, remove_underscores = FALSE)  # remove ott ID from species name to match it to the data set

phylo_matrix <- vcv(phylo_branched, cor = T)  # Generate variance covariance matrix to correlate species relatedness 

data <- as.data.frame(data)

# Convert species_latin to lowercase
data <- mutate(data, search_string = tolower(species_latin))

data <- left_join(data, select(taxa, search_string, unique_name, ott_id), by = "search_string")  # Join data sets

data <- data[data$unique_name %in% phylo_branched$tip.label, ]  # Check that species names are well matched with the phylogenetic tree


data$phylogeny <- data$unique_name  # Rename 'unique_name' to 'phylogeny' for the models

Variance covariance matrices

To account for the dependency of effect sizes estimates due to being in the same exposure group (cohort) we constructed a series of vcv matrices.

#------------------------------lnRR------------------------------#
data <- data[!is.na(data$lnRRv), ]

lnRRVCV <- metafor::vcalc(vi = lnRRv, cluster = exp_id, obs = assay_id, data = data,
    rho = 0.5)

lnRRVCV2 <- metafor::vcalc(vi = lnRRv, cluster = exp2_id, obs = assay_id, data = data,
    rho = 0.5)

#------------------------------lnVR------------------------------#
data <- data[!is.na(data$lnVRv), ]

lnVRVCV <- metafor::vcalc(vi = lnVRv, cluster = exp_id, obs = assay_id, data = data,
    rho = 0.5)

lnVRVCV2 <- metafor::vcalc(vi = lnVRv, cluster = exp2_id, obs = assay2_id, data = data,
    rho = 0.5)

Selection of random-effect structure

Select the “most appropriate” structure for the subsequent statistical modelling.

The potential random effect were:

    1. Observation (assay_id) - A unique id for each pairwise comparison for effect size calculation
    1. Cohort (exp_id) - A unique id for each exposure group in each primary study
    1. Study (study_id) - A unique id for each included primary study
    1. Pesticide (pesticide) - Each pesticide used in the primary study
    1. Species (species) - Each species used in the primary study
    1. Phylogeny (phylogeny) - The phylogenetic relatedness for each species in the primary studies

We start from fitting a null model without including the above random effects candidates as the default reduced model, and build upon more complex models by adding random-effects a candidate one time. We use the likelihood ratio test to compare the quality of two nested models in terms of information criteria indices (AIC, BIC, AICc).

Null model with no random effects (lnRR)

# fit a null model as default model
null_mod_lnRR <- rma.mv(yi = lnRR, V = lnRRVCV, method = "ML", test = "t", data = data,
    sparse = TRUE)  # Use ML to compare information criteria

summary(null_mod_lnRR)
## 
## Multivariate Meta-Analysis Model (k = 448; method: ML)
## 
##     logLik    Deviance         AIC         BIC        AICc   
## -2076.4225   5125.7373   4154.8450   4158.9498   4154.8539   
## 
## Variance Components: none
## 
## Test for Heterogeneity:
## Q(df = 447) = 5125.7373, p-val < .0001
## 
## Model Results:
## 
## estimate      se     tval   df    pval    ci.lb    ci.ub      
##  -0.0306  0.0035  -8.7653  447  <.0001  -0.0375  -0.0238  *** 
## 
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

Add assay_id as a random effect and compare with the null model (lnRR)

mod_lnRR.assay_id <- rma.mv(yi = lnRR, V = lnRRVCV, random = ~1 | assay_id, method = "ML",
    test = "t", data = data, sparse = T)

summary(mod_lnRR.assay_id)
## 
## Multivariate Meta-Analysis Model (k = 448; method: ML)
## 
##    logLik   Deviance        AIC        BIC       AICc   
## -218.8077  1410.5078   441.6154   449.8250   441.6424   
## 
## Variance Components:
## 
##             estim    sqrt  nlvls  fixed    factor 
## sigma^2    0.0847  0.2910    448     no  assay_id 
## 
## Test for Heterogeneity:
## Q(df = 447) = 5125.7373, p-val < .0001
## 
## Model Results:
## 
## estimate      se     tval   df    pval    ci.lb    ci.ub      
##  -0.1010  0.0196  -5.1398  447  <.0001  -0.1396  -0.0624  *** 
## 
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
anova(null_mod_lnRR, mod_lnRR.assay_id)
## 
##         df       AIC       BIC      AICc     logLik       LRT   pval        QE 
## Full     2  441.6154  449.8250  441.6424  -218.8077                  5125.7373 
## Reduced  1 4154.8450 4158.9498 4154.8539 -2076.4225 3715.2295 <.0001 5125.7373

Add study_id as a random effect to the above better model (that used obs_ID a random effect) (lnRR)

mod_lnRR.assay_id.study_id <- rma.mv(yi = lnRR, V = lnRRVCV, random = list(~1 | study_id,
    ~1 | assay_id), method = "ML", test = "t", data = data, sparse = T)

summary(mod_lnRR.assay_id.study_id)
## 
## Multivariate Meta-Analysis Model (k = 448; method: ML)
## 
##    logLik   Deviance        AIC        BIC       AICc   
## -174.0307  1320.9537   354.0614   366.3757   354.1154   
## 
## Variance Components:
## 
##             estim    sqrt  nlvls  fixed    factor 
## sigma^2.1  0.0647  0.2543     37     no  study_id 
## sigma^2.2  0.0599  0.2448    448     no  assay_id 
## 
## Test for Heterogeneity:
## Q(df = 447) = 5125.7373, p-val < .0001
## 
## Model Results:
## 
## estimate      se     tval   df    pval    ci.lb    ci.ub    
##  -0.1189  0.0485  -2.4535  447  0.0145  -0.2142  -0.0237  * 
## 
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
anova(mod_lnRR.assay_id, mod_lnRR.assay_id.study_id)
## 
##         df      AIC      BIC     AICc    logLik     LRT   pval        QE 
## Full     3 354.0614 366.3757 354.1154 -174.0307                5125.7373 
## Reduced  2 441.6154 449.8250 441.6424 -218.8077 89.5541 <.0001 5125.7373

Add exp_id as a random effect to the above model (that used assay_id and study_id as random effets) (lnRR)

mod_lnRR.assay_id.study_id.exp_id <- rma.mv(yi = lnRR, V = lnRRVCV, random = list(~1 |
    study_id, ~1 | exp_id, ~1 | assay_id), method = "ML", test = "t", data = data,
    sparse = T)

summary(mod_lnRR.assay_id.study_id.exp_id)
## 
## Multivariate Meta-Analysis Model (k = 448; method: ML)
## 
##    logLik   Deviance        AIC        BIC       AICc   
## -174.0307  1320.9537   356.0614   372.4805   356.1516   
## 
## Variance Components:
## 
##             estim    sqrt  nlvls  fixed    factor 
## sigma^2.1  0.0647  0.2543     37     no  study_id 
## sigma^2.2  0.0000  0.0000    111     no    exp_id 
## sigma^2.3  0.0599  0.2448    448     no  assay_id 
## 
## Test for Heterogeneity:
## Q(df = 447) = 5125.7373, p-val < .0001
## 
## Model Results:
## 
## estimate      se     tval   df    pval    ci.lb    ci.ub    
##  -0.1189  0.0485  -2.4535  447  0.0145  -0.2142  -0.0237  * 
## 
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
anova(mod_lnRR.assay_id.study_id, mod_lnRR.assay_id.study_id.exp_id)
## 
##         df      AIC      BIC     AICc    logLik    LRT   pval        QE 
## Full     4 356.0614 372.4805 356.1516 -174.0307               5125.7373 
## Reduced  3 354.0614 366.3757 354.1154 -174.0307 0.0000 1.0000 5125.7373

Add species as a random effect to the better model (that used assay_id and study_id as random effets) (lnRR)

mod_lnRR.assay_id.study_id.species <- rma.mv(yi = lnRR, V = lnRRVCV, random = list(~1 |
    study_id, ~1 | assay_id, ~1 | species_latin), method = "ML", test = "t", data = data,
    sparse = T)

summary(mod_lnRR.assay_id.study_id.species)
## 
## Multivariate Meta-Analysis Model (k = 448; method: ML)
## 
##    logLik   Deviance        AIC        BIC       AICc   
## -171.7538  1316.3998   351.5075   367.9267   351.5978   
## 
## Variance Components:
## 
##             estim    sqrt  nlvls  fixed         factor 
## sigma^2.1  0.0543  0.2331     37     no       study_id 
## sigma^2.2  0.0589  0.2427    448     no       assay_id 
## sigma^2.3  0.0454  0.2130     10     no  species_latin 
## 
## Test for Heterogeneity:
## Q(df = 447) = 5125.7373, p-val < .0001
## 
## Model Results:
## 
## estimate      se     tval   df    pval    ci.lb    ci.ub    
##  -0.2467  0.1001  -2.4637  447  0.0141  -0.4436  -0.0499  * 
## 
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
anova(mod_lnRR.assay_id.study_id, mod_lnRR.assay_id.study_id.species)
## 
##         df      AIC      BIC     AICc    logLik    LRT   pval        QE 
## Full     4 351.5075 367.9267 351.5978 -171.7538               5125.7373 
## Reduced  3 354.0614 366.3757 354.1154 -174.0307 4.5538 0.0328 5125.7373
i2_ml(mod_lnRR.assay_id.study_id.species)
##         I2_Total      I2_study_id      I2_assay_id I2_species_latin 
##         97.07031         33.24977         36.04941         27.77113

Add phylogeny as a random effect to the better model (that used assay_id , study_id and species as random effects) (lnRR)

mod_lnRR.assay_id.study_id.species.phylogeny <- rma.mv(yi = lnRR, V = lnRRVCV, random = list(~1 |
    study_id, ~1 | assay_id, ~1 | species_latin, ~1 | phylogeny), method = "ML",
    test = "t", data = data, sparse = T, R = list(phylogeny = phylo_matrix))

summary(mod_lnRR.assay_id.study_id.species.phylogeny)
## 
## Multivariate Meta-Analysis Model (k = 448; method: ML)
## 
##    logLik   Deviance        AIC        BIC       AICc   
## -171.7538  1316.3998   353.5075   374.0315   353.6433   
## 
## Variance Components:
## 
##             estim    sqrt  nlvls  fixed         factor    R 
## sigma^2.1  0.0543  0.2331     37     no       study_id   no 
## sigma^2.2  0.0589  0.2427    448     no       assay_id   no 
## sigma^2.3  0.0454  0.2130     10     no  species_latin   no 
## sigma^2.4  0.0000  0.0000     10     no      phylogeny  yes 
## 
## Test for Heterogeneity:
## Q(df = 447) = 5125.7373, p-val < .0001
## 
## Model Results:
## 
## estimate      se     tval   df    pval    ci.lb    ci.ub    
##  -0.2467  0.1001  -2.4637  447  0.0141  -0.4436  -0.0499  * 
## 
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
fitstats(mod_lnRR.assay_id.study_id.species, mod_lnRR.assay_id.study_id.species.phylogeny)
##           mod_lnRR.assay_id.study_id.species
## logLik:                            -171.7538
## deviance:                          1316.3998
## AIC:                                351.5075
## BIC:                                367.9267
## AICc:                               351.5978
##           mod_lnRR.assay_id.study_id.species.phylogeny
## logLik:                                      -171.7538
## deviance:                                    1316.3998
## AIC:                                          353.5075
## BIC:                                          374.0315
## AICc:                                         353.6433
i2_ml(mod_lnRR.assay_id.study_id.species.phylogeny)
##         I2_Total      I2_study_id      I2_assay_id I2_species_latin 
##     9.707031e+01     3.324977e+01     3.604941e+01     2.777113e+01 
##     I2_phylogeny 
##     3.442931e-07

Add pesticide as a random effect to the above model (that used assay_id , study_id, species and phylogeny as random effects) (lnRR)

mod_lnRR.assay_id.study_id.species.pesticide <- rma.mv(yi = lnRR, V = lnRRVCV, random = list(~1 |
    study_id, ~1 | assay_id, ~1 | species_latin, ~1 | pesticide), method = "ML",
    test = "t", data = data, sparse = T)

summary(mod_lnRR.assay_id.study_id.species.pesticide)
## 
## Multivariate Meta-Analysis Model (k = 448; method: ML)
## 
##    logLik   Deviance        AIC        BIC       AICc   
## -171.1338  1315.1600   352.2677   372.7916   352.4034   
## 
## Variance Components:
## 
##             estim    sqrt  nlvls  fixed         factor 
## sigma^2.1  0.0520  0.2280     37     no       study_id 
## sigma^2.2  0.0583  0.2414    448     no       assay_id 
## sigma^2.3  0.0478  0.2187     10     no  species_latin 
## sigma^2.4  0.0076  0.0873     30     no      pesticide 
## 
## Test for Heterogeneity:
## Q(df = 447) = 5125.7373, p-val < .0001
## 
## Model Results:
## 
## estimate      se     tval   df    pval    ci.lb    ci.ub    
##  -0.2609  0.1040  -2.5094  447  0.0124  -0.4652  -0.0566  * 
## 
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
anova(mod_lnRR.assay_id.study_id.species, mod_lnRR.assay_id.study_id.species.pesticide)
## 
##         df      AIC      BIC     AICc    logLik    LRT   pval        QE 
## Full     5 352.2677 372.7916 352.4034 -171.1338               5125.7373 
## Reduced  4 351.5075 367.9267 351.5978 -171.7538 1.2398 0.2655 5125.7373
i2_ml(mod_lnRR.assay_id.study_id.species.pesticide)
##         I2_Total      I2_study_id      I2_assay_id I2_species_latin 
##        97.193337        30.486413        34.179792        28.056365 
##     I2_pesticide 
##         4.470767

Null model with no random effects (lnVR)

# fit a null model as default model
null_mod_lnVR <- rma.mv(yi = lnVR, V = lnVRVCV, method = "ML", test = "t", data = data,
    sparse = TRUE)

summary(null_mod_lnVR)
## 
## Multivariate Meta-Analysis Model (k = 448; method: ML)
## 
##     logLik    Deviance         AIC         BIC        AICc   
## -1523.4543   3617.6450   3048.9087   3053.0135   3048.9176   
## 
## Variance Components: none
## 
## Test for Heterogeneity:
## Q(df = 447) = 3617.6450, p-val < .0001
## 
## Model Results:
## 
## estimate      se     tval   df    pval    ci.lb    ci.ub      
##  -0.0862  0.0187  -4.6111  447  <.0001  -0.1229  -0.0494  *** 
## 
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

Add assay_id as a random effect and compare with the null model (lnVR)

mod_lnVR.assay_id <- rma.mv(yi = lnVR, V = lnVRVCV, random = ~1 | assay_id, method = "ML",
    test = "t", data = data, sparse = T)

summary(mod_lnVR.assay_id)
## 
## Multivariate Meta-Analysis Model (k = 448; method: ML)
## 
##    logLik   Deviance        AIC        BIC       AICc   
## -393.0636  1356.8635   790.1271   798.3367   790.1541   
## 
## Variance Components:
## 
##             estim    sqrt  nlvls  fixed    factor 
## sigma^2    0.2591  0.5090    448     no  assay_id 
## 
## Test for Heterogeneity:
## Q(df = 447) = 3617.6450, p-val < .0001
## 
## Model Results:
## 
## estimate      se     tval   df    pval    ci.lb   ci.ub    
##  -0.0520  0.0329  -1.5825  447  0.1143  -0.1166  0.0126    
## 
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
anova(null_mod_lnVR, mod_lnVR.assay_id)
## 
##         df       AIC       BIC      AICc     logLik       LRT   pval        QE 
## Full     2  790.1271  798.3367  790.1541  -393.0636                  3617.6450 
## Reduced  1 3048.9087 3053.0135 3048.9176 -1523.4543 2260.7815 <.0001 3617.6450

Add study_id as a random effect to the above better model (that used assay_id a random effect) (lnVR)

mod_lnVR.assay_id.study_id <- rma.mv(yi = lnVR, V = lnVRVCV, random = list(~1 | study_id,
    ~1 | assay_id), method = "ML", test = "t", data = data, sparse = T)

summary(mod_lnVR.assay_id.study_id)
## 
## Multivariate Meta-Analysis Model (k = 448; method: ML)
## 
##    logLik   Deviance        AIC        BIC       AICc   
## -391.7199  1354.1762   789.4398   801.7542   789.4939   
## 
## Variance Components:
## 
##             estim    sqrt  nlvls  fixed    factor 
## sigma^2.1  0.0157  0.1252     37     no  study_id 
## sigma^2.2  0.2513  0.5013    448     no  assay_id 
## 
## Test for Heterogeneity:
## Q(df = 447) = 3617.6450, p-val < .0001
## 
## Model Results:
## 
## estimate      se     tval   df    pval    ci.lb   ci.ub    
##  -0.0552  0.0420  -1.3136  447  0.1897  -0.1378  0.0274    
## 
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
anova(mod_lnVR.assay_id, mod_lnVR.assay_id.study_id)
## 
##         df      AIC      BIC     AICc    logLik    LRT   pval        QE 
## Full     3 789.4398 801.7542 789.4939 -391.7199               3617.6450 
## Reduced  2 790.1271 798.3367 790.1541 -393.0636 2.6873 0.1012 3617.6450

Add exp_id as a random effect to the above better model (that used assay_id and study_id as random effets) (lnVR)

mod_lnVR.assay_id.study_id.exp_id <- rma.mv(yi = lnVR, V = lnVRVCV, random = list(~1 |
    study_id, ~1 | exp_id, ~1 | assay_id), method = "ML", test = "t", data = data,
    sparse = T)

summary(mod_lnVR.assay_id.study_id.exp_id)
## 
## Multivariate Meta-Analysis Model (k = 448; method: ML)
## 
##    logLik   Deviance        AIC        BIC       AICc   
## -391.7199  1354.1762   791.4398   807.8590   791.5301   
## 
## Variance Components:
## 
##             estim    sqrt  nlvls  fixed    factor 
## sigma^2.1  0.0157  0.1252     37     no  study_id 
## sigma^2.2  0.0000  0.0000    111     no    exp_id 
## sigma^2.3  0.2513  0.5013    448     no  assay_id 
## 
## Test for Heterogeneity:
## Q(df = 447) = 3617.6450, p-val < .0001
## 
## Model Results:
## 
## estimate      se     tval   df    pval    ci.lb   ci.ub    
##  -0.0552  0.0420  -1.3136  447  0.1897  -0.1378  0.0274    
## 
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
anova(mod_lnVR.assay_id.study_id, mod_lnVR.assay_id.study_id.exp_id)
## 
##         df      AIC      BIC     AICc    logLik    LRT   pval        QE 
## Full     4 791.4398 807.8590 791.5301 -391.7199               3617.6450 
## Reduced  3 789.4398 801.7542 789.4939 -391.7199 0.0000 1.0000 3617.6450

Add species as a random effect to the above better model (that used assay_id and study_id as random effets) (lnVR)

mod_lnVR.assay_id.study_id.species <- rma.mv(yi = lnVR, V = lnVRVCV, random = list(~1 |
    study_id, ~1 | assay_id, ~1 | species_latin), method = "ML", test = "t", data = data,
    sparse = T)

summary(mod_lnVR.assay_id.study_id.species)
## 
## Multivariate Meta-Analysis Model (k = 448; method: ML)
## 
##    logLik   Deviance        AIC        BIC       AICc   
## -391.7199  1354.1762   791.4398   807.8590   791.5301   
## 
## Variance Components:
## 
##             estim    sqrt  nlvls  fixed         factor 
## sigma^2.1  0.0157  0.1252     37     no       study_id 
## sigma^2.2  0.2513  0.5013    448     no       assay_id 
## sigma^2.3  0.0000  0.0000     10     no  species_latin 
## 
## Test for Heterogeneity:
## Q(df = 447) = 3617.6450, p-val < .0001
## 
## Model Results:
## 
## estimate      se     tval   df    pval    ci.lb   ci.ub    
##  -0.0552  0.0420  -1.3136  447  0.1897  -0.1378  0.0274    
## 
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
anova(mod_lnVR.assay_id.study_id, mod_lnVR.assay_id.study_id.species)
## 
##         df      AIC      BIC     AICc    logLik    LRT   pval        QE 
## Full     4 791.4398 807.8590 791.5301 -391.7199               3617.6450 
## Reduced  3 789.4398 801.7542 789.4939 -391.7199 0.0000 1.0000 3617.6450

Add phylogeny as a random effect to the above better model (that used assay_id , study_id and species as random effects) (lnVR)

mod_lnVR.assay_id.study_id.species.phylogeny <- rma.mv(yi = lnVR, V = lnVRVCV, random = list(~1 |
    study_id, ~1 | assay_id, ~1 | species_latin, ~1 | phylogeny), method = "ML",
    test = "t", data = data, sparse = T, R = list(phylogeny = phylo_matrix))

summary(mod_lnVR.assay_id.study_id.species.phylogeny)
## 
## Multivariate Meta-Analysis Model (k = 448; method: ML)
## 
##    logLik   Deviance        AIC        BIC       AICc   
## -391.7199  1354.1762   793.4398   813.9638   793.5756   
## 
## Variance Components:
## 
##             estim    sqrt  nlvls  fixed         factor    R 
## sigma^2.1  0.0157  0.1252     37     no       study_id   no 
## sigma^2.2  0.2513  0.5013    448     no       assay_id   no 
## sigma^2.3  0.0000  0.0000     10     no  species_latin   no 
## sigma^2.4  0.0000  0.0000     10     no      phylogeny  yes 
## 
## Test for Heterogeneity:
## Q(df = 447) = 3617.6450, p-val < .0001
## 
## Model Results:
## 
## estimate      se     tval   df    pval    ci.lb   ci.ub    
##  -0.0552  0.0420  -1.3136  447  0.1897  -0.1378  0.0274    
## 
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
anova(mod_lnVR.assay_id.study_id.species, mod_lnVR.assay_id.study_id.species.phylogeny)
## 
##         df      AIC      BIC     AICc    logLik    LRT   pval        QE 
## Full     5 793.4398 813.9638 793.5756 -391.7199               3617.6450 
## Reduced  4 791.4398 807.8590 791.5301 -391.7199 0.0000 0.9999 3617.6450

Add pesticide as a random effect to the above better model (that used assay_id , study_id, species and phylogeny as random effects) (lnVR)

mod_lnVR.assay_id.study_id.species.phylogeny.pesticide <- rma.mv(yi = lnCVR, V = lnCVRVCV,
    random = list(~1 | study_id, ~1 | assay_id, ~1 | species_latin, ~1 | phylogeny,
        ~1 | pesticide), method = "ML", test = "t", data = data, sparse = T, R = list(phylogeny = phylo_matrix))

summary(mod_lnVR.assay_id.study_id.species.phylogeny.pesticide)
## 
## Multivariate Meta-Analysis Model (k = 448; method: ML)
## 
##    logLik   Deviance        AIC        BIC       AICc   
## -348.6810   986.4516   709.3620   733.9907   709.5525   
## 
## Variance Components:
## 
##             estim    sqrt  nlvls  fixed         factor    R 
## sigma^2.1  0.0212  0.1455     37     no       study_id   no 
## sigma^2.2  0.1591  0.3988    448     no       assay_id   no 
## sigma^2.3  0.0000  0.0000     10     no  species_latin   no 
## sigma^2.4  0.0221  0.1486     10     no      phylogeny  yes 
## sigma^2.5  0.0030  0.0547     30     no      pesticide   no 
## 
## Test for Heterogeneity:
## Q(df = 447) = 1797.4539, p-val < .0001
## 
## Model Results:
## 
## estimate      se    tval   df    pval    ci.lb   ci.ub    
##   0.0637  0.1080  0.5897  447  0.5557  -0.1485  0.2758    
## 
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

Intercept only meta-analysis models

Intercept only model (lnRR)

# Model
lnRR_intercept_only <- rma.mv(yi = lnRR, V = lnRRVCV, random = list(~1 | study_id,
    ~1 | assay_id, ~1 | species_latin, ~1 | pesticide, ~1 | phylogeny), method = "REML",
    test = "t", data = data, sparse = T, R = list(phylogeny = phylo_matrix))

# Summary statistics
summary(lnRR_intercept_only)
## 
## Multivariate Meta-Analysis Model (k = 448; method: REML)
## 
##    logLik   Deviance        AIC        BIC       AICc   
## -169.3896   338.7792   350.7792   375.3946   350.9702   
## 
## Variance Components:
## 
##             estim    sqrt  nlvls  fixed         factor    R 
## sigma^2.1  0.0532  0.2308     37     no       study_id   no 
## sigma^2.2  0.0582  0.2412    448     no       assay_id   no 
## sigma^2.3  0.0613  0.2477     10     no  species_latin   no 
## sigma^2.4  0.0080  0.0897     30     no      pesticide   no 
## sigma^2.5  0.0000  0.0000     10     no      phylogeny  yes 
## 
## Test for Heterogeneity:
## Q(df = 447) = 5125.7373, p-val < .0001
## 
## Model Results:
## 
## estimate      se     tval   df    pval    ci.lb    ci.ub    
##  -0.2669  0.1119  -2.3862  447  0.0174  -0.4868  -0.0471  * 
## 
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
mod_results(lnRR_intercept_only, mod = "1", data = data, group = "study_id")  # For prediction intervals
##      name   estimate    lowerCL    upperCL   lowerPR   upperPR
## 1 Intrcpt -0.2669387 -0.4867922 -0.0470853 -1.131058 0.5971801
i2_ml(lnRR_intercept_only)
##         I2_Total      I2_study_id      I2_assay_id I2_species_latin 
##     9.742099e+01     2.868989e+01     3.134000e+01     3.305457e+01 
##     I2_pesticide     I2_phylogeny 
##     4.336519e+00     5.423849e-07
# Given point estimate of lnRR
lnRR_point <- -0.2669

# Calculate the percentage change
lnRR_percentage_change <- (1 - exp(lnRR_point)) * 100
lnRR_percentage_change
## [1] 23.42504

Intercept only model (lnVR)

# Model
lnVR_intercept_only <- rma.mv(yi = lnVR, V = lnVRVCV, random = list(~1 | study_id,
    ~1 | assay_id, ~1 | species_latin, ~1 | pesticide, ~1 | phylogeny), method = "REML",
    test = "t", data = data, sparse = T, R = list(phylogeny = phylo_matrix))




# Summary statistics
summary(lnVR_intercept_only)
## 
## Multivariate Meta-Analysis Model (k = 448; method: REML)
## 
##    logLik   Deviance        AIC        BIC       AICc   
## -390.5853   781.1705   793.1705   817.7859   793.3614   
## 
## Variance Components:
## 
##             estim    sqrt  nlvls  fixed         factor    R 
## sigma^2.1  0.0013  0.0355     37     no       study_id   no 
## sigma^2.2  0.2482  0.4982    448     no       assay_id   no 
## sigma^2.3  0.0000  0.0001     10     no  species_latin   no 
## sigma^2.4  0.0127  0.1125     30     no      pesticide   no 
## sigma^2.5  0.0881  0.2968     10     no      phylogeny  yes 
## 
## Test for Heterogeneity:
## Q(df = 447) = 3617.6450, p-val < .0001
## 
## Model Results:
## 
## estimate      se     tval   df    pval    ci.lb   ci.ub    
##  -0.0914  0.1883  -0.4857  447  0.6274  -0.4614  0.2785    
## 
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
mod_results(lnVR_intercept_only, mod = "1", data = data, group = "study_id")
##      name    estimate    lowerCL   upperCL   lowerPR  upperPR
## 1 Intrcpt -0.09144646 -0.4614317 0.2785387 -1.311954 1.129061
i2_ml(lnVR_intercept_only)
##         I2_Total      I2_study_id      I2_assay_id I2_species_latin 
##     8.707982e+01     3.128951e-01     6.172057e+01     1.882742e-06 
##     I2_pesticide     I2_phylogeny 
##     3.149301e+00     2.189706e+01
# Given point estimate of lnRR
lnVR_point <- -0.0728

# Calculate the percentage change
lnVR_percentage_change <- (1 - exp(lnVR_point)) * 100
lnVR_percentage_change
## [1] 7.021323

Figure 2

Impacts of pesticide exposure on fish conspecific interactions. The model estimates the average effects of pesticide exposure on conspecific interactions in fish. (A) shows the mean difference between control and treatment groups on a logarithmic scale, where negative values indicate a reduction in conspecific behavioural activity. (B) shows the difference in variances between control and treatment groups, also on a logarithmic scale, where negative values suggest a reduction in the inter-individual variability of conspecific behavioural activity. Shorter whiskers represent 95% confidence intervals, while longer whiskers indicate 95% prediction intervals. ‘k’ represents the number of effect sizes, and the number of studies is in brackets. Each circle corresponds to an effect size, with its size scaled according to precision (inverse sampling error variance).

# Figure 2a)
intercept_only.lnRR_orchard <- orchaRd::orchard_plot(lnRR_intercept_only, group = "study_id",
    xlab = "lnRR", data = data, g = TRUE, k.pos = "right", colour = FALSE, fill = TRUE,
    trunk.size = 3, legend.pos = "none", branch.size = 1.5, twig.size = 1) + scale_fill_manual(values = RColorBrewer::brewer.pal(8,
    "Dark2")[1]) + scale_x_discrete(labels = c("Model estimates"))

# Figure 2b)
intercept_only.lnVR__orchard <- orchaRd::orchard_plot(lnVR_intercept_only, group = "study_id",
    xlab = "lnVR", data = data, g = TRUE, k.pos = "right", colour = FALSE, fill = TRUE,
    trunk.size = 3, legend.pos = "none", branch.size = 1.5, twig.size = 1) + scale_fill_manual(values = RColorBrewer::brewer.pal(8,
    "Dark2")[2]) + scale_x_discrete(labels = c("Model estimates"))

# Combine the two plots
main_text_figure_2 <- intercept_only.lnRR_orchard + intercept_only.lnVR__orchard +
    plot_annotation(tag_levels = "A")

print(main_text_figure_2)

# ggsave(here('figures', 'main_text_figure_2.jpg'), width = 24, height = 10,
# units = 'cm', dpi = 800) ggsave(here('figures', 'main_text_figure_2.pdf'),
# width = 24, height = 10, units = 'cm', dpi = 800)

Single moderator meta-regression

Behaviour characteristics

Moderating effects of behaviour type (lnRR)

# Model
lnRR_mod_behaviour_class <- rma.mv(yi = lnRR, V = lnRRVCV, random = list(~1 | study_id,
    ~1 | assay_id, ~1 | species_latin, ~1 | pesticide), mods = ~behaviour_measured_standardised -
    1, method = "REML", test = "t", data = data, sparse = T)


# Summary results
summary(lnRR_mod_behaviour_class)
## 
## Multivariate Meta-Analysis Model (k = 448; method: REML)
## 
##    logLik   Deviance        AIC        BIC       AICc   
## -157.6271   315.2542   331.2542   364.0208   331.5853   
## 
## Variance Components:
## 
##             estim    sqrt  nlvls  fixed         factor 
## sigma^2.1  0.0491  0.2216     37     no       study_id 
## sigma^2.2  0.0541  0.2326    448     no       assay_id 
## sigma^2.3  0.0622  0.2494     10     no  species_latin 
## sigma^2.4  0.0059  0.0770     30     no      pesticide 
## 
## Test for Residual Heterogeneity:
## QE(df = 444) = 3709.4943, p-val < .0001
## 
## Test of Moderators (coefficients 1:4):
## F(df1 = 4, df2 = 444) = 7.1848, p-val < .0001
## 
## Model Results:
## 
##                                                      estimate      se     tval 
## behaviour_measured_standardisedaggression             -0.1251  0.1160  -1.0779 
## behaviour_measured_standardisedcollective behaviour   -0.1788  0.1218  -1.4675 
## behaviour_measured_standardisedcourtship              -0.4280  0.1173  -3.6501 
## behaviour_measured_standardisedsociality              -0.1530  0.1198  -1.2768 
##                                                       df    pval    ci.lb 
## behaviour_measured_standardisedaggression            444  0.2817  -0.3531 
## behaviour_measured_standardisedcollective behaviour  444  0.1430  -0.4183 
## behaviour_measured_standardisedcourtship             444  0.0003  -0.6585 
## behaviour_measured_standardisedsociality             444  0.2023  -0.3886 
##                                                        ci.ub      
## behaviour_measured_standardisedaggression             0.1030      
## behaviour_measured_standardisedcollective behaviour   0.0607      
## behaviour_measured_standardisedcourtship             -0.1976  *** 
## behaviour_measured_standardisedsociality              0.0825      
## 
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
mod_results(lnRR_mod_behaviour_class, mod = "behaviour_measured_standardised", data = data,
    group = "study_id")
##                   name   estimate    lowerCL     upperCL    lowerPR   upperPR
## 1           Aggression -0.1250780 -0.3531254  0.10296951 -0.9698693 0.7197134
## 2 Collective behaviour -0.1788090 -0.4182769  0.06065887 -1.0267546 0.6691365
## 3            Courtship -0.4280461 -0.6585198 -0.19757233 -1.2734956 0.4174035
## 4            Sociality -0.1530223 -0.3885554  0.08251080 -0.9998650 0.6938205
r2_ml(lnRR_mod_behaviour_class)
##    R2_marginal R2_conditional 
##     0.07060053     0.96783006
# Give point estimate of lnRR
courtship_lnRR_point <- -0.428

# Calculate the percentage change
courtship_lnRR_percentage_change <- (1 - exp(courtship_lnRR_point)) * 100
courtship_lnRR_percentage_change
## [1] 34.81886

Moderating effects of behaviour type (lnVR)

# Model
lnVR_mod_behaviour_class <- rma.mv(yi = lnVR, V = lnVRVCV, random = list(~1 | study_id,
    ~1 | assay_id, ~1 | species_latin, ~1 | pesticide), mods = ~behaviour_measured_standardised -
    1, method = "REML", test = "t", data = data, sparse = T)

# Summary statistics
summary(lnVR_mod_behaviour_class)
## 
## Multivariate Meta-Analysis Model (k = 448; method: REML)
## 
##    logLik   Deviance        AIC        BIC       AICc   
## -386.9398   773.8797   789.8797   822.6463   790.2107   
## 
## Variance Components:
## 
##             estim    sqrt  nlvls  fixed         factor 
## sigma^2.1  0.0287  0.1693     37     no       study_id 
## sigma^2.2  0.2439  0.4938    448     no       assay_id 
## sigma^2.3  0.0217  0.1472     10     no  species_latin 
## sigma^2.4  0.0000  0.0001     30     no      pesticide 
## 
## Test for Residual Heterogeneity:
## QE(df = 444) = 3505.1296, p-val < .0001
## 
## Test of Moderators (coefficients 1:4):
## F(df1 = 4, df2 = 444) = 1.3083, p-val = 0.2660
## 
## Model Results:
## 
##                                                      estimate      se     tval 
## behaviour_measured_standardisedaggression             -0.0470  0.1060  -0.4436 
## behaviour_measured_standardisedcollective behaviour   -0.0481  0.1162  -0.4135 
## behaviour_measured_standardisedcourtship              -0.1674  0.1040  -1.6092 
## behaviour_measured_standardisedsociality               0.0743  0.1144   0.6493 
##                                                       df    pval    ci.lb 
## behaviour_measured_standardisedaggression            444  0.6576  -0.2554 
## behaviour_measured_standardisedcollective behaviour  444  0.6794  -0.2765 
## behaviour_measured_standardisedcourtship             444  0.1083  -0.3718 
## behaviour_measured_standardisedsociality             444  0.5165  -0.1505 
##                                                       ci.ub    
## behaviour_measured_standardisedaggression            0.1613    
## behaviour_measured_standardisedcollective behaviour  0.1804    
## behaviour_measured_standardisedcourtship             0.0370    
## behaviour_measured_standardisedsociality             0.2990    
## 
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
mod_results(lnVR_mod_behaviour_class, mod = "behaviour_measured_standardised", data = data,
    group = "study_id")
##                   name    estimate    lowerCL    upperCL   lowerPR   upperPR
## 1           Aggression -0.04702923 -0.2554049 0.16134647 -1.133221 1.0391626
## 2 Collective behaviour -0.04806303 -0.2764918 0.18036572 -1.138280 1.0421535
## 3            Courtship -0.16737461 -0.3717935 0.03704429 -1.252814 0.9180651
## 4            Sociality  0.07425841 -0.1504989 0.29901568 -1.015195 1.1637115
r2_ml(lnVR_mod_behaviour_class)
##    R2_marginal R2_conditional 
##     0.02163905     0.99999998

Moderate by assay (lnRR)

# Model
lnRR_mod_assay <- rma.mv(yi = lnRR, V = lnRRVCV, random = list(~1 | study_id, ~1 |
    assay_id, ~1 | species_latin, ~1 | pesticide), mods = ~behavioural_assay_standardised2 -
    1, method = "REML", test = "t", data = data, sparse = T)

summary(lnRR_mod_assay)
## 
## Multivariate Meta-Analysis Model (k = 281; method: REML)
## 
##    logLik   Deviance        AIC        BIC       AICc   
## -112.3984   224.7968   238.7968   264.1901   239.2116   
## 
## Variance Components:
## 
##             estim    sqrt  nlvls  fixed         factor 
## sigma^2.1  0.0551  0.2347     28     no       study_id 
## sigma^2.2  0.0597  0.2444    281     no       assay_id 
## sigma^2.3  0.0300  0.1732      8     no  species_latin 
## sigma^2.4  0.0170  0.1303     24     no      pesticide 
## 
## Test for Residual Heterogeneity:
## QE(df = 278) = 2767.0298, p-val < .0001
## 
## Test of Moderators (coefficients 1:3):
## F(df1 = 3, df2 = 278) = 2.4162, p-val = 0.0667
## 
## Model Results:
## 
##                                       estimate      se     tval   df    pval 
## behavioural_assay_standardised2count   -0.2306  0.1073  -2.1496  278  0.0324 
## behavioural_assay_standardised2entry   -0.4129  0.1652  -2.4996  278  0.0130 
## behavioural_assay_standardised2zone    -0.2541  0.1106  -2.2967  278  0.0224 
##                                         ci.lb    ci.ub    
## behavioural_assay_standardised2count  -0.4417  -0.0194  * 
## behavioural_assay_standardised2entry  -0.7381  -0.0877  * 
## behavioural_assay_standardised2zone   -0.4719  -0.0363  * 
## 
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
r2_ml(lnRR_mod_assay)
##    R2_marginal R2_conditional 
##    0.009435225    0.896025643
# Model contrast
lnRR_mod_assay_contrast <- rma.mv(yi = lnRR, V = lnRRVCV, random = list(~1 | study_id,
    ~1 | assay_id, ~1 | species_latin, ~1 | pesticide), mods = ~behavioural_assay_standardised2,
    method = "REML", test = "t", data = data, sparse = T)

summary(lnRR_mod_assay_contrast)
## 
## Multivariate Meta-Analysis Model (k = 281; method: REML)
## 
##    logLik   Deviance        AIC        BIC       AICc   
## -112.3984   224.7968   238.7968   264.1901   239.2116   
## 
## Variance Components:
## 
##             estim    sqrt  nlvls  fixed         factor 
## sigma^2.1  0.0551  0.2347     28     no       study_id 
## sigma^2.2  0.0597  0.2444    281     no       assay_id 
## sigma^2.3  0.0300  0.1732      8     no  species_latin 
## sigma^2.4  0.0170  0.1303     24     no      pesticide 
## 
## Test for Residual Heterogeneity:
## QE(df = 278) = 2767.0298, p-val < .0001
## 
## Test of Moderators (coefficients 2:3):
## F(df1 = 2, df2 = 278) = 0.8597, p-val = 0.4244
## 
## Model Results:
## 
##                                       estimate      se     tval   df    pval 
## intrcpt                                -0.2306  0.1073  -2.1496  278  0.0324 
## behavioural_assay_standardised2entry   -0.1823  0.1397  -1.3056  278  0.1928 
## behavioural_assay_standardised2zone    -0.0235  0.0607  -0.3879  278  0.6984 
##                                         ci.lb    ci.ub    
## intrcpt                               -0.4417  -0.0194  * 
## behavioural_assay_standardised2entry  -0.4573   0.0926    
## behavioural_assay_standardised2zone   -0.1430   0.0959    
## 
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

Moderate by assay (lnVR)

# Model
lnVR_mod_assay <- rma.mv(yi = lnVR, V = lnVRVCV, random = list(~1 | study_id, ~1 |
    assay_id, ~1 | species_latin, ~1 | pesticide), mods = ~behavioural_assay_standardised2 -
    1, method = "REML", test = "t", data = data, sparse = T)

summary(lnVR_mod_assay)
## 
## Multivariate Meta-Analysis Model (k = 281; method: REML)
## 
##    logLik   Deviance        AIC        BIC       AICc   
## -203.7426   407.4852   421.4852   446.8785   421.9000   
## 
## Variance Components:
## 
##             estim    sqrt  nlvls  fixed         factor 
## sigma^2.1  0.0029  0.0536     28     no       study_id 
## sigma^2.2  0.1801  0.4244    281     no       assay_id 
## sigma^2.3  0.0259  0.1610      8     no  species_latin 
## sigma^2.4  0.0173  0.1316     24     no      pesticide 
## 
## Test for Residual Heterogeneity:
## QE(df = 278) = 1922.3628, p-val < .0001
## 
## Test of Moderators (coefficients 1:3):
## F(df1 = 3, df2 = 278) = 3.6855, p-val = 0.0125
## 
## Model Results:
## 
##                                       estimate      se     tval   df    pval 
## behavioural_assay_standardised2count   -0.2039  0.0983  -2.0742  278  0.0390 
## behavioural_assay_standardised2entry   -0.5645  0.1822  -3.0986  278  0.0021 
## behavioural_assay_standardised2zone    -0.1516  0.1046  -1.4496  278  0.1483 
##                                         ci.lb    ci.ub     
## behavioural_assay_standardised2count  -0.3973  -0.0104   * 
## behavioural_assay_standardised2entry  -0.9231  -0.2059  ** 
## behavioural_assay_standardised2zone   -0.3574   0.0543     
## 
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
r2_ml(lnVR_mod_assay)
##    R2_marginal R2_conditional 
##     0.03610299     0.92620514
# Model contrast
lnVR_mod_assay_contrast <- rma.mv(yi = lnVR, V = lnVRVCV, random = list(~1 | study_id,
    ~1 | assay_id, ~1 | species_latin, ~1 | pesticide), mods = ~behavioural_assay_standardised2,
    method = "REML", test = "t", data = data, sparse = T)

summary(lnVR_mod_assay_contrast)
## 
## Multivariate Meta-Analysis Model (k = 281; method: REML)
## 
##    logLik   Deviance        AIC        BIC       AICc   
## -203.7426   407.4852   421.4852   446.8785   421.9000   
## 
## Variance Components:
## 
##             estim    sqrt  nlvls  fixed         factor 
## sigma^2.1  0.0029  0.0536     28     no       study_id 
## sigma^2.2  0.1801  0.4244    281     no       assay_id 
## sigma^2.3  0.0259  0.1610      8     no  species_latin 
## sigma^2.4  0.0173  0.1316     24     no      pesticide 
## 
## Test for Residual Heterogeneity:
## QE(df = 278) = 1922.3628, p-val < .0001
## 
## Test of Moderators (coefficients 2:3):
## F(df1 = 2, df2 = 278) = 3.2048, p-val = 0.0421
## 
## Model Results:
## 
##                                       estimate      se     tval   df    pval 
## intrcpt                                -0.2039  0.0983  -2.0742  278  0.0390 
## behavioural_assay_standardised2entry   -0.3606  0.1717  -2.0999  278  0.0366 
## behavioural_assay_standardised2zone     0.0523  0.0826   0.6328  278  0.5274 
##                                         ci.lb    ci.ub    
## intrcpt                               -0.3973  -0.0104  * 
## behavioural_assay_standardised2entry  -0.6987  -0.0226  * 
## behavioural_assay_standardised2zone   -0.1104   0.2149    
## 
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

Figure 3

# Figure 3a)
behav_mod_orchard.lnRR <- orchaRd::orchard_plot(lnRR_mod_behaviour_class, group = "study_id",
    xlab = "lnRR", data = data, mod = "behaviour_measured_standardised", g = TRUE,
    k.pos = "right", colour = FALSE, fill = TRUE, legend.pos = "none", trunk.size = 3,
    branch.size = 1.5, twig.size = 1, angle = 45) + scale_fill_manual(values = RColorBrewer::brewer.pal(8,
    "Dark2")) + plot_annotation(tag_levels = "A")

# Figure 3b)
behav_mod_orchard.lnVR <- orchaRd::orchard_plot(lnVR_mod_behaviour_class, group = "study_id",
    xlab = "lnVR", mod = "behaviour_measured_standardised", data = data, g = TRUE,
    k.pos = "right", colour = FALSE, fill = TRUE, legend.pos = "none", trunk.size = 3,
    branch.size = 1.5, twig.size = 1, angle = 45) + scale_fill_manual(values = RColorBrewer::brewer.pal(8,
    "Dark2")) + theme(axis.text.y = element_blank()) + plot_annotation(tag_levels = "B")

# Figure 3c)
assay_mod_orchard.lnRR <- orchaRd::orchard_plot(lnRR_mod_assay_contrast, group = "study_id",
    xlab = "lnRR", data = data, mod = "behavioural_assay_standardised2", g = TRUE,
    k.pos = "right", colour = FALSE, fill = TRUE, legend.pos = "none", trunk.size = 3,
    branch.size = 1.5, twig.size = 1, angle = 45) + scale_fill_manual(values = RColorBrewer::brewer.pal(8,
    "Dark2")) + plot_annotation(tag_levels = "C")

# Figure 3d)
assay_mod_orchard.lnVR <- orchaRd::orchard_plot(lnVR_mod_assay_contrast, group = "study_id",
    xlab = "lnVR", data = data, mod = "behavioural_assay_standardised2", g = TRUE,
    k.pos = "right", colour = FALSE, fill = TRUE, legend.pos = "none", trunk.size = 3,
    branch.size = 1.5, twig.size = 1, angle = 45) + scale_fill_manual(values = RColorBrewer::brewer.pal(8,
    "Dark2")) + theme(axis.text.y = element_blank()) + plot_annotation(tag_levels = "D")


main_text_figure_3 <- (behav_mod_orchard.lnRR + behav_mod_orchard.lnVR)/(assay_mod_orchard.lnRR +
    assay_mod_orchard.lnVR) + plot_annotation(tag_levels = "A")

print(main_text_figure_3)

# ggsave(here('figures', 'main_text_figure_3.jpg'), plot = main_text_figure_3,
# width = 28, height = 24, units = 'cm', dpi = 800) ggsave(here('figures',
# 'main_text_figure_3.pdf'),plot = main_text_figure_3, width = 28, height = 24,
# units = 'cm', dpi = 800)

Pesticide characteristics

Moderate by pesticide chemical class (lnRR)

# Model
lnRR_mod_pesticide <- rma.mv(yi = lnRR, V = lnRRVCV, random = list(~1 | study_id,
    ~1 | assay_id, ~1 | species_latin, ~1 | pesticide), mods = ~pesticide_chemical_class -
    1, method = "REML", test = "t", data = data, sparse = T)

# Summary results
summary(lnRR_mod_pesticide)
## 
## Multivariate Meta-Analysis Model (k = 448; method: REML)
## 
##    logLik   Deviance        AIC        BIC       AICc   
## -154.4215   308.8431   342.8431   412.1239   344.3107   
## 
## Variance Components:
## 
##             estim    sqrt  nlvls  fixed         factor 
## sigma^2.1  0.0740  0.2720     37     no       study_id 
## sigma^2.2  0.0569  0.2385    448     no       assay_id 
## sigma^2.3  0.1006  0.3172     10     no  species_latin 
## sigma^2.4  0.0000  0.0000     30     no      pesticide 
## 
## Test for Residual Heterogeneity:
## QE(df = 435) = 4102.5996, p-val < .0001
## 
## Test of Moderators (coefficients 1:13):
## F(df1 = 13, df2 = 435) = 1.2519, p-val = 0.2396
## 
## Model Results:
## 
##                                                             estimate      se 
## pesticide_chemical_classB-methoxyacrylates                   -0.3506  0.3156 
## pesticide_chemical_classcarbamate                            -0.5231  0.3150 
## pesticide_chemical_classdioxolanes                           -0.4687  0.3237 
## pesticide_chemical_classneonicotinoid                        -0.3278  0.2279 
## pesticide_chemical_classorganochlorine                       -0.4560  0.2020 
## pesticide_chemical_classorganophosphate                      -0.2562  0.1657 
## pesticide_chemical_classorganophosphate and organochlorine   -0.3905  0.3074 
## pesticide_chemical_classphenoxy                              -0.2870  0.3277 
## pesticide_chemical_classpyrethroid                           -0.3401  0.1850 
## pesticide_chemical_classrotenones                             0.0826  0.2823 
## pesticide_chemical_classtriazine                             -0.3017  0.1759 
## pesticide_chemical_classtriazole                             -0.5014  0.2123 
## pesticide_chemical_classurea                                  0.0209  0.1939 
##                                                                tval   df 
## pesticide_chemical_classB-methoxyacrylates                  -1.1110  435 
## pesticide_chemical_classcarbamate                           -1.6605  435 
## pesticide_chemical_classdioxolanes                          -1.4481  435 
## pesticide_chemical_classneonicotinoid                       -1.4381  435 
## pesticide_chemical_classorganochlorine                      -2.2570  435 
## pesticide_chemical_classorganophosphate                     -1.5459  435 
## pesticide_chemical_classorganophosphate and organochlorine  -1.2705  435 
## pesticide_chemical_classphenoxy                             -0.8759  435 
## pesticide_chemical_classpyrethroid                          -1.8387  435 
## pesticide_chemical_classrotenones                            0.2925  435 
## pesticide_chemical_classtriazine                            -1.7149  435 
## pesticide_chemical_classtriazole                            -2.3614  435 
## pesticide_chemical_classurea                                 0.1078  435 
##                                                               pval    ci.lb 
## pesticide_chemical_classB-methoxyacrylates                  0.2672  -0.9709 
## pesticide_chemical_classcarbamate                           0.0975  -1.1422 
## pesticide_chemical_classdioxolanes                          0.1483  -1.1049 
## pesticide_chemical_classneonicotinoid                       0.1511  -0.7758 
## pesticide_chemical_classorganochlorine                      0.0245  -0.8530 
## pesticide_chemical_classorganophosphate                     0.1229  -0.5819 
## pesticide_chemical_classorganophosphate and organochlorine  0.2046  -0.9946 
## pesticide_chemical_classphenoxy                             0.3816  -0.9310 
## pesticide_chemical_classpyrethroid                          0.0666  -0.7036 
## pesticide_chemical_classrotenones                           0.7700  -0.4723 
## pesticide_chemical_classtriazine                            0.0871  -0.6475 
## pesticide_chemical_classtriazole                            0.0186  -0.9188 
## pesticide_chemical_classurea                                0.9142  -0.3601 
##                                                               ci.ub    
## pesticide_chemical_classB-methoxyacrylates                   0.2696    
## pesticide_chemical_classcarbamate                            0.0961  . 
## pesticide_chemical_classdioxolanes                           0.1675    
## pesticide_chemical_classneonicotinoid                        0.1202    
## pesticide_chemical_classorganochlorine                      -0.0589  * 
## pesticide_chemical_classorganophosphate                      0.0695    
## pesticide_chemical_classorganophosphate and organochlorine   0.2136    
## pesticide_chemical_classphenoxy                              0.3570    
## pesticide_chemical_classpyrethroid                           0.0234  . 
## pesticide_chemical_classrotenones                            0.6374    
## pesticide_chemical_classtriazine                             0.0441  . 
## pesticide_chemical_classtriazole                            -0.0841  * 
## pesticide_chemical_classurea                                 0.4019    
## 
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
lnRR_pesticide_mod_results <- mod_results(lnRR_mod_pesticide, mod = "pesticide_chemical_class",
    data = data, group = "study_id")

r2_ml(lnRR_mod_pesticide)
##    R2_marginal R2_conditional 
##      0.1028894      1.0000000

Moderate by pesticide chemical class (lnVR)

# Model
lnVR_mod_pesticide <- rma.mv(yi = lnVR, V = lnVRVCV, random = list(~1 | study_id,
    ~1 | assay_id, ~1 | species_latin, ~1 | pesticide), mods = ~pesticide_chemical_class -
    1, method = "REML", test = "t", data = data, sparse = T)

# Summary results
summary(lnVR_mod_pesticide)
## 
## Multivariate Meta-Analysis Model (k = 448; method: REML)
## 
##    logLik   Deviance        AIC        BIC       AICc   
## -374.3551   748.7102   782.7102   851.9911   784.1778   
## 
## Variance Components:
## 
##             estim    sqrt  nlvls  fixed         factor 
## sigma^2.1  0.0000  0.0001     37     no       study_id 
## sigma^2.2  0.2512  0.5012    448     no       assay_id 
## sigma^2.3  0.0187  0.1366     10     no  species_latin 
## sigma^2.4  0.0000  0.0000     30     no      pesticide 
## 
## Test for Residual Heterogeneity:
## QE(df = 435) = 3523.7293, p-val < .0001
## 
## Test of Moderators (coefficients 1:13):
## F(df1 = 13, df2 = 435) = 1.6681, p-val = 0.0649
## 
## Model Results:
## 
##                                                             estimate      se 
## pesticide_chemical_classB-methoxyacrylates                   -0.0979  0.1613 
## pesticide_chemical_classcarbamate                            -0.0717  0.2871 
## pesticide_chemical_classdioxolanes                            0.3694  0.2579 
## pesticide_chemical_classneonicotinoid                         0.0567  0.1425 
## pesticide_chemical_classorganochlorine                        0.0633  0.1799 
## pesticide_chemical_classorganophosphate                      -0.2923  0.1052 
## pesticide_chemical_classorganophosphate and organochlorine   -0.0181  0.3221 
## pesticide_chemical_classphenoxy                               0.0844  0.2109 
## pesticide_chemical_classpyrethroid                            0.0379  0.1048 
## pesticide_chemical_classrotenones                             0.1417  0.2121 
## pesticide_chemical_classtriazine                             -0.0180  0.1133 
## pesticide_chemical_classtriazole                             -0.2512  0.1157 
## pesticide_chemical_classurea                                  0.0229  0.1239 
##                                                                tval   df 
## pesticide_chemical_classB-methoxyacrylates                  -0.6066  435 
## pesticide_chemical_classcarbamate                           -0.2496  435 
## pesticide_chemical_classdioxolanes                           1.4321  435 
## pesticide_chemical_classneonicotinoid                        0.3977  435 
## pesticide_chemical_classorganochlorine                       0.3517  435 
## pesticide_chemical_classorganophosphate                     -2.7775  435 
## pesticide_chemical_classorganophosphate and organochlorine  -0.0563  435 
## pesticide_chemical_classphenoxy                              0.4000  435 
## pesticide_chemical_classpyrethroid                           0.3617  435 
## pesticide_chemical_classrotenones                            0.6680  435 
## pesticide_chemical_classtriazine                            -0.1588  435 
## pesticide_chemical_classtriazole                            -2.1709  435 
## pesticide_chemical_classurea                                 0.1848  435 
##                                                               pval    ci.lb 
## pesticide_chemical_classB-methoxyacrylates                  0.5445  -0.4150 
## pesticide_chemical_classcarbamate                           0.8030  -0.6360 
## pesticide_chemical_classdioxolanes                          0.1528  -0.1376 
## pesticide_chemical_classneonicotinoid                       0.6910  -0.2233 
## pesticide_chemical_classorganochlorine                      0.7252  -0.2903 
## pesticide_chemical_classorganophosphate                     0.0057  -0.4992 
## pesticide_chemical_classorganophosphate and organochlorine  0.9551  -0.6512 
## pesticide_chemical_classphenoxy                             0.6893  -0.3302 
## pesticide_chemical_classpyrethroid                          0.7178  -0.1680 
## pesticide_chemical_classrotenones                           0.5045  -0.2751 
## pesticide_chemical_classtriazine                            0.8739  -0.2407 
## pesticide_chemical_classtriazole                            0.0305  -0.4785 
## pesticide_chemical_classurea                                0.8535  -0.2207 
##                                                               ci.ub     
## pesticide_chemical_classB-methoxyacrylates                   0.2192     
## pesticide_chemical_classcarbamate                            0.4927     
## pesticide_chemical_classdioxolanes                           0.8763     
## pesticide_chemical_classneonicotinoid                        0.3367     
## pesticide_chemical_classorganochlorine                       0.4169     
## pesticide_chemical_classorganophosphate                     -0.0855  ** 
## pesticide_chemical_classorganophosphate and organochlorine   0.6149     
## pesticide_chemical_classphenoxy                              0.4989     
## pesticide_chemical_classpyrethroid                           0.2438     
## pesticide_chemical_classrotenones                            0.5585     
## pesticide_chemical_classtriazine                             0.2047     
## pesticide_chemical_classtriazole                            -0.0238   * 
## pesticide_chemical_classurea                                 0.2665     
## 
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
lnVR_pesticide_mod_results <- mod_results(lnVR_mod_pesticide, mod = "pesticide_chemical_class",
    data = data, group = "study_id")

r2_ml(lnVR_mod_pesticide)
##    R2_marginal R2_conditional 
##     0.08581531     1.00000000

Figure s18

The moderating effects of pesticide chemical class on (A) response magnitude and (B) response variability in conspecific interactions. Shorter whiskers represent 95% confidence intervals, while longer whiskers indicate 95% prediction intervals. ‘k’ represents the number of effect sizes, and the number of studies is in brackets. Each circle corresponds to an effect size, with its size scaled according to precision (inverse sampling error variance).

# Figure s18A
pesticide_all_mod_orchard.lnRR <- orchaRd::orchard_plot(lnRR_mod_pesticide, group = "study_id",
    xlab = "lnRR", data = data, mod = "pesticide_chemical_class", g = TRUE, k.pos = "right",
    colour = FALSE, fill = TRUE, legend.pos = "none", trunk.size = 3, branch.size = 1.5,
    twig.size = 1, angle = 45)

# Figure s18B
pesticide_all_mod_orchard.lnVR <- orchaRd::orchard_plot(lnVR_mod_pesticide, group = "study_id",
    xlab = "lnVR", data = data, mod = "pesticide_chemical_class", g = TRUE, k.pos = "right",
    colour = FALSE, fill = TRUE, legend.pos = "none", trunk.size = 3, branch.size = 1.5,
    twig.size = 1, angle = 45) + theme(axis.text.y = element_blank())


pesticide_all_mod_orchard <- pesticide_all_mod_orchard.lnRR + pesticide_all_mod_orchard.lnVR

print(pesticide_all_mod_orchard)

# ggsave(here('figures', 'pesticide_all_mod_orchard.jpg'), plot =
# pesticide_all_mod_orchard, width = 30, height = 18, units = 'cm', dpi = 800)
# ggsave(here('figures', 'pesticide_all_mod_orchard.pdf'),plot =
# pesticide_all_mod_orchard, width = 30, height = 18, units = 'cm', dpi = 800)

Moderate by concentration of pesticide (lnRR)

# Create dataframe for model with consistent dosage units
data_dosage_model <- data %>%
    filter(dosage != "not reported") %>%
    filter(dosage_unit != "not reported") %>%
    filter(!dosage_unit %in% c("nm", "um", "nM")) %>%
    mutate(dosage = as.numeric(dosage), dosage_unit = as.character(dosage_unit),
        dosage_unit_consistent = case_when(dosage_unit == "mg/L" ~ "ug/L", dosage_unit ==
            "ng/L" ~ "ug/L", dosage_unit == "g/L" ~ "ug/L", dosage_unit == "ppb" ~
            "ug/L", dosage_unit == "ppm" ~ "ug/L", TRUE ~ dosage_unit), dosage_convert_ugL = case_when(dosage_unit ==
            "mg/L" ~ dosage * 1000, dosage_unit == "ng/L" ~ dosage/1000, dosage_unit ==
            "g/L" ~ dosage/1e+06, dosage_unit == "ppm" ~ dosage * 1000, TRUE ~ dosage)) %>%
    filter(!is.na(dosage_convert_ugL)) %>%
    mutate(log_dosage_convert_ugL = log(dosage_convert_ugL))

# Recalculate the VCV matrix based on the new data frame
lnRRVCV_dosage <- metafor::vcalc(vi = lnRRv, cluster = exp_id, obs = assay_id, data = data_dosage_model,
    rho = 0.5)

# Model
lnRR_mod_dosage <- rma.mv(yi = lnRR, V = lnRRVCV_dosage, random = list(~1 | study_id,
    ~1 | assay_id, ~1 | species_latin, ~1 | pesticide), mods = ~log_dosage_convert_ugL -
    1, method = "REML", test = "t", data = data_dosage_model, sparse = T)

# Summary results
summary(lnRR_mod_dosage)
## 
## Multivariate Meta-Analysis Model (k = 424; method: REML)
## 
##    logLik   Deviance        AIC        BIC       AICc   
## -160.0658   320.1317   330.1317   350.3685   330.2756   
## 
## Variance Components:
## 
##             estim    sqrt  nlvls  fixed         factor 
## sigma^2.1  0.0642  0.2535     33     no       study_id 
## sigma^2.2  0.0593  0.2435    424     no       assay_id 
## sigma^2.3  0.0937  0.3062     10     no  species_latin 
## sigma^2.4  0.0068  0.0823     26     no      pesticide 
## 
## Test for Residual Heterogeneity:
## QE(df = 423) = 4780.6970, p-val < .0001
## 
## Model Results:
## 
##                         estimate      se     tval   df    pval    ci.lb   ci.ub 
## log_dosage_convert_ugL   -0.0090  0.0083  -1.0780  423  0.2817  -0.0254  0.0074 
##                           
## log_dosage_convert_ugL    
## 
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
dosage_mod_lnRR_results <- mod_results(lnRR_mod_dosage, mod = "log_dosage_convert_ugL",
    data = data_dosage_model, group = "study_id")

r2_lnRR_dosage <- r2_ml(lnRR_mod_dosage, data_dosage_model)

Moderate by concentration of pesticide (lnVR)

# Recalculate the VCV matrix based on the new data frame
lnVRVCV_dosage <- metafor::vcalc(vi = lnVRv, cluster = exp_id, obs = assay_id, data = data_dosage_model,
    rho = 0.5)

## Model
lnVR_mod_dosage <- rma.mv(yi = lnVR, V = lnVRVCV_dosage, random = list(~1 | study_id,
    ~1 | assay_id, ~1 | species_latin, ~1 | pesticide), mods = ~log_dosage_convert_ugL -
    1, method = "REML", test = "t", data = data_dosage_model, sparse = T)

# Summary results
summary(lnVR_mod_dosage)
## 
## Multivariate Meta-Analysis Model (k = 424; method: REML)
## 
##    logLik   Deviance        AIC        BIC       AICc   
## -377.7153   755.4307   765.4307   785.6675   765.5745   
## 
## Variance Components:
## 
##             estim    sqrt  nlvls  fixed         factor 
## sigma^2.1  0.0146  0.1207     33     no       study_id 
## sigma^2.2  0.2650  0.5148    424     no       assay_id 
## sigma^2.3  0.0000  0.0000     10     no  species_latin 
## sigma^2.4  0.0000  0.0000     26     no      pesticide 
## 
## Test for Residual Heterogeneity:
## QE(df = 423) = 3576.1874, p-val < .0001
## 
## Model Results:
## 
##                         estimate      se     tval   df    pval    ci.lb   ci.ub 
## log_dosage_convert_ugL   -0.0140  0.0093  -1.5142  423  0.1307  -0.0323  0.0042 
##                           
## log_dosage_convert_ugL    
## 
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
dosage_mod_lnVR_results <- mod_results(lnVR_mod_dosage, mod = "log_dosage_convert_ugL",
    data = data_dosage_model, group = "study_id")

r2_lnVR_dosage <- r2_ml(lnVR_mod_dosage, data_dosage_model)

Moderate by duration of pesticide (lnRR)

# Create dataframe for model with consistent duration units
data_duration_model <- data %>%
    filter(!is.na(duration), duration != "not reported") %>%
    mutate(duration = as.numeric(duration), duration_unit = as.character(duration_unit),
        duration_unit_consistent = case_when(duration_unit == "minutes" ~ "hours",
            duration_unit == "days" ~ "hours", duration_unit == "weeks" ~ "hours",
            TRUE ~ duration_unit), duration_convert = case_when(duration_unit ==
            "minutes" ~ duration/60, duration_unit == "days" ~ duration * 24, duration_unit ==
            "weeks" ~ duration * 168, TRUE ~ duration))


# Recalculate the VCV matrix based on the new data frame
lnRRVCV_duration <- metafor::vcalc(vi = lnRRv, cluster = exp_id, obs = assay_id,
    data = data_duration_model, rho = 0.5)

# Model
lnRR_mod_duration <- rma.mv(yi = lnRR, V = lnRRVCV_duration, random = list(~1 | study_id,
    ~1 | assay_id, ~1 | species_latin, ~1 | pesticide), mods = ~duration_convert -
    1, method = "REML", test = "t", data = data_duration_model, sparse = T)


# Summary results
summary(lnRR_mod_duration)
## 
## Multivariate Meta-Analysis Model (k = 447; method: REML)
## 
##    logLik   Deviance        AIC        BIC       AICc   
## -171.6113   343.2226   353.2226   373.7242   353.3590   
## 
## Variance Components:
## 
##             estim    sqrt  nlvls  fixed         factor 
## sigma^2.1  0.0630  0.2510     36     no       study_id 
## sigma^2.2  0.0581  0.2411    447     no       assay_id 
## sigma^2.3  0.0943  0.3070     10     no  species_latin 
## sigma^2.4  0.0064  0.0797     29     no      pesticide 
## 
## Test for Residual Heterogeneity:
## QE(df = 446) = 5152.2750, p-val < .0001
## 
## Model Results:
## 
##                   estimate      se     tval   df    pval    ci.lb   ci.ub    
## duration_convert   -0.0001  0.0001  -0.8544  446  0.3933  -0.0002  0.0001    
## 
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
duration_mod_lnRR_results <- mod_results(lnRR_mod_duration, mod = "duration_convert",
    data = data_duration_model, group = "study_id")

r2_lnRR_duration <- r2_ml(lnRR_mod_duration, data_duration_model)

Moderate by duration of pesticide (lnVR)

# Recalculate the VCV matrix based on the new data frame
lnVRVCV_duration <- metafor::vcalc(vi = lnVRv, cluster = exp_id, obs = assay_id,
    data = data_duration_model, rho = 0.5)

## Model
lnVR_mod_duration <- rma.mv(yi = lnVR, V = lnVRVCV_duration, random = list(~1 | study_id,
    ~1 | assay_id, ~1 | species_latin, ~1 | pesticide), mods = ~log(duration_convert) -
    1, method = "REML", test = "t", data = data_duration_model, sparse = T)

# Summary results
summary(lnVR_mod_duration)
## 
## Multivariate Meta-Analysis Model (k = 447; method: REML)
## 
##    logLik   Deviance        AIC        BIC       AICc   
## -390.3365   780.6730   790.6730   811.1746   790.8093   
## 
## Variance Components:
## 
##             estim    sqrt  nlvls  fixed         factor 
## sigma^2.1  0.0105  0.1024     36     no       study_id 
## sigma^2.2  0.2509  0.5009    447     no       assay_id 
## sigma^2.3  0.0241  0.1553     10     no  species_latin 
## sigma^2.4  0.0024  0.0485     29     no      pesticide 
## 
## Test for Residual Heterogeneity:
## QE(df = 446) = 3618.9593, p-val < .0001
## 
## Model Results:
## 
##                        estimate      se     tval   df    pval    ci.lb   ci.ub 
## log(duration_convert)   -0.0112  0.0129  -0.8625  446  0.3889  -0.0366  0.0143 
##                          
## log(duration_convert)    
## 
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
lnVR_mod_duration_results <- mod_results(lnVR_mod_duration, mod = "duration_convert",
    data = data_duration_model, group = "study_id")

r2_lnVR_duration <- r2_ml(lnVR_mod_duration, data_duration_model)

Moderate by control solvent used (lnRR)

# Model
lnRR_mod_solvent <- rma.mv(yi = lnRR, V = lnRRVCV, random = list(~1 | study_id, ~1 |
    assay_id, ~1 | species_latin, ~1 | pesticide), mods = ~control_solvent - 1, method = "REML",
    test = "t", data = data, sparse = T)
# Summary results
summary(lnRR_mod_solvent)
## 
## Multivariate Meta-Analysis Model (k = 448; method: REML)
## 
##    logLik   Deviance        AIC        BIC       AICc   
## -158.2294   316.4588   336.4588   377.3719   336.9692   
## 
## Variance Components:
## 
##             estim    sqrt  nlvls  fixed         factor 
## sigma^2.1  0.0525  0.2292     37     no       study_id 
## sigma^2.2  0.0560  0.2366    448     no       assay_id 
## sigma^2.3  0.0901  0.3002     10     no  species_latin 
## sigma^2.4  0.0100  0.1001     30     no      pesticide 
## 
## Test for Residual Heterogeneity:
## QE(df = 442) = 4609.1221, p-val < .0001
## 
## Test of Moderators (coefficients 1:6):
## F(df1 = 6, df2 = 442) = 3.2090, p-val = 0.0043
## 
## Model Results:
## 
##                              estimate      se     tval   df    pval    ci.lb 
## control_solventacetone        -0.4324  0.2101  -2.0582  442  0.0402  -0.8453 
## control_solventDMSO           -0.2572  0.1430  -1.7994  442  0.0726  -0.5382 
## control_solventDTNB            0.3652  0.3579   1.0203  442  0.3081  -0.3382 
## control_solventethanol        -0.0796  0.3061  -0.2602  442  0.7949  -0.6813 
## control_solventnone           -0.4687  0.1473  -3.1828  442  0.0016  -0.7581 
## control_solventnot reported   -0.3131  0.1452  -2.1562  442  0.0316  -0.5986 
##                                ci.ub     
## control_solventacetone       -0.0195   * 
## control_solventDMSO           0.0237   . 
## control_solventDTNB           1.0686     
## control_solventethanol        0.5220     
## control_solventnone          -0.1793  ** 
## control_solventnot reported  -0.0277   * 
## 
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
mod_results(lnRR_mod_solvent, mod = "control_solvent", data = data, group = "study_id")  # For prediction intervals
##           name    estimate    lowerCL     upperCL    lowerPR   upperPR
## 1      Acetone -0.43239818 -0.8452817 -0.01951462 -1.4205239 0.5557275
## 2         DMSO -0.25723535 -0.5381937  0.02372303 -1.1979038 0.6834331
## 3         DTNB  0.36517835 -0.3382454  1.06860210 -0.7753148 1.5056715
## 4      Ethanol -0.07964196 -0.6813076  0.52202365 -1.1603459 1.0010620
## 5         None -0.46870558 -0.7581296 -0.17928159 -1.4119372 0.4745260
## 6 Not reported -0.31314903 -0.5985793 -0.02771877 -1.2551628 0.6288648
r2_ml(lnRR_mod_solvent)
##    R2_marginal R2_conditional 
##     0.09182819     0.95638011
# Model
lnRR_mod_solvent2 <- rma.mv(yi = lnRR, V = lnRRVCV, random = list(~1 | study_id,
    ~1 | assay_id, ~1 | species_latin, ~1 | pesticide), mods = ~solvent2 - 1, method = "REML",
    test = "t", data = data, sparse = T)
# Summary results
summary(lnRR_mod_solvent2)
## 
## Multivariate Meta-Analysis Model (k = 322; method: REML)
## 
##    logLik   Deviance        AIC        BIC       AICc   
## -104.4008   208.8016   220.8016   243.4115   221.0700   
## 
## Variance Components:
## 
##             estim    sqrt  nlvls  fixed         factor 
## sigma^2.1  0.0233  0.1526     26     no       study_id 
## sigma^2.2  0.0561  0.2368    322     no       assay_id 
## sigma^2.3  0.0343  0.1851      7     no  species_latin 
## sigma^2.4  0.0366  0.1913     23     no      pesticide 
## 
## Test for Residual Heterogeneity:
## QE(df = 320) = 3517.4706, p-val < .0001
## 
## Test of Moderators (coefficients 1:2):
## F(df1 = 2, df2 = 320) = 7.4927, p-val = 0.0007
## 
## Model Results:
## 
##                       estimate      se     tval   df    pval    ci.lb    ci.ub 
## solvent2none           -0.4323  0.1243  -3.4767  320  0.0006  -0.6769  -0.1877 
## solvent2solvent_used   -0.2364  0.1140  -2.0741  320  0.0389  -0.4607  -0.0122 
##                           
## solvent2none          *** 
## solvent2solvent_used    * 
## 
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
mod_results(lnRR_mod_solvent2, mod = "solvent2", data = data, group = "study_id")  # For prediction intervals
##           name   estimate    lowerCL     upperCL   lowerPR   upperPR
## 1         None -0.4322903 -0.6769184 -0.18766232 -1.233181 0.3686002
## 2 Solvent_used -0.2364478 -0.4607294 -0.01216618 -1.031360 0.5584642
r2_ml(lnRR_mod_solvent2)
##    R2_marginal R2_conditional 
##     0.05832539     0.77057361
# Contrast Model
lnRR_mod_solvent2_contrast <- rma.mv(yi = lnRR, V = lnRRVCV, random = list(~1 | study_id,
    ~1 | assay_id, ~1 | species_latin, ~1 | pesticide), mods = ~solvent2, method = "REML",
    test = "t", data = data, sparse = T)
# Summary results
summary(lnRR_mod_solvent2_contrast)
## 
## Multivariate Meta-Analysis Model (k = 322; method: REML)
## 
##    logLik   Deviance        AIC        BIC       AICc   
## -104.4008   208.8016   220.8016   243.4115   221.0700   
## 
## Variance Components:
## 
##             estim    sqrt  nlvls  fixed         factor 
## sigma^2.1  0.0233  0.1526     26     no       study_id 
## sigma^2.2  0.0561  0.2368    322     no       assay_id 
## sigma^2.3  0.0343  0.1851      7     no  species_latin 
## sigma^2.4  0.0366  0.1913     23     no      pesticide 
## 
## Test for Residual Heterogeneity:
## QE(df = 320) = 3517.4706, p-val < .0001
## 
## Test of Moderators (coefficient 2):
## F(df1 = 1, df2 = 320) = 8.9451, p-val = 0.0030
## 
## Model Results:
## 
##                       estimate      se     tval   df    pval    ci.lb    ci.ub 
## intrcpt                -0.4323  0.1243  -3.4767  320  0.0006  -0.6769  -0.1877 
## solvent2solvent_used    0.1958  0.0655   2.9908  320  0.0030   0.0670   0.3247 
##                           
## intrcpt               *** 
## solvent2solvent_used   ** 
## 
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
mod_results(lnRR_mod_solvent2_contrast, mod = "solvent2", data = data, group = "study_id")
##           name   estimate    lowerCL     upperCL   lowerPR   upperPR
## 1         None -0.4322903 -0.6769184 -0.18766232 -1.233181 0.3686002
## 2 Solvent_used -0.2364478 -0.4607294 -0.01216618 -1.031360 0.5584642

Moderate by control solvent used (lnVR)

# Model
lnVR_mod_solvent <- rma.mv(yi = lnVR, V = lnVRVCV, random = list(~1 | study_id, ~1 |
    assay_id, ~1 | species_latin, ~1 | pesticide), mods = ~control_solvent - 1, method = "REML",
    test = "t", data = data, sparse = T)

# Summary results
summary(lnVR_mod_solvent)
## 
## Multivariate Meta-Analysis Model (k = 448; method: REML)
## 
##    logLik   Deviance        AIC        BIC       AICc   
## -383.0086   766.0171   786.0171   826.9302   786.5276   
## 
## Variance Components:
## 
##             estim    sqrt  nlvls  fixed         factor 
## sigma^2.1  0.0056  0.0750     37     no       study_id 
## sigma^2.2  0.2463  0.4963    448     no       assay_id 
## sigma^2.3  0.0664  0.2578     10     no  species_latin 
## sigma^2.4  0.0088  0.0937     30     no      pesticide 
## 
## Test for Residual Heterogeneity:
## QE(df = 442) = 3591.5475, p-val < .0001
## 
## Test of Moderators (coefficients 1:6):
## F(df1 = 6, df2 = 442) = 1.1873, p-val = 0.3118
## 
## Model Results:
## 
##                              estimate      se     tval   df    pval    ci.lb 
## control_solventacetone         0.0357  0.2062   0.1732  442  0.8626  -0.3695 
## control_solventDMSO           -0.1065  0.1259  -0.8456  442  0.3982  -0.3540 
## control_solventDTNB           -0.1484  0.4262  -0.3483  442  0.7278  -0.9860 
## control_solventethanol         0.6455  0.3544   1.8210  442  0.0693  -0.0512 
## control_solventnone           -0.1624  0.1355  -1.1984  442  0.2314  -0.4286 
## control_solventnot reported   -0.1506  0.1282  -1.1752  442  0.2406  -0.4025 
##                               ci.ub    
## control_solventacetone       0.4409    
## control_solventDMSO          0.1410    
## control_solventDTNB          0.6892    
## control_solventethanol       1.3421  . 
## control_solventnone          0.1039    
## control_solventnot reported  0.1013    
## 
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
mod_results(lnVR_mod_solvent, mod = "control_solvent", data = data, group = "study_id")
##           name    estimate     lowerCL   upperCL    lowerPR  upperPR
## 1      Acetone  0.03570967 -0.36945573 0.4408751 -1.1592330 1.230652
## 2         DMSO -0.10649681 -0.35401172 0.1410181 -1.2575801 1.044586
## 3         DTNB -0.14843971 -0.98603407 0.6891546 -1.5503289 1.253449
## 4      Ethanol  0.64545014 -0.05116164 1.3420619 -0.6770464 1.967947
## 5         None -0.16236262 -0.42863825 0.1039130 -1.3176252 0.992900
## 6 Not reported -0.15061013 -0.40248779 0.1012675 -1.3026394 1.001419
r2_ml(lnVR_mod_solvent)
##    R2_marginal R2_conditional 
##     0.06827873     0.97500236
# Model
lnVR_mod_solvent2 <- rma.mv(yi = lnVR, V = lnVRVCV, random = list(~1 | study_id,
    ~1 | assay_id, ~1 | species_latin, ~1 | pesticide), mods = ~solvent2 - 1, method = "REML",
    test = "t", data = data, sparse = T)
# Summary results
summary(lnVR_mod_solvent2)
## 
## Multivariate Meta-Analysis Model (k = 322; method: REML)
## 
##    logLik   Deviance        AIC        BIC       AICc   
## -300.4493   600.8985   612.8985   635.5085   613.1669   
## 
## Variance Components:
## 
##             estim    sqrt  nlvls  fixed         factor 
## sigma^2.1  0.0000  0.0000     26     no       study_id 
## sigma^2.2  0.2755  0.5249    322     no       assay_id 
## sigma^2.3  0.3615  0.6013      7     no  species_latin 
## sigma^2.4  0.0210  0.1450     23     no      pesticide 
## 
## Test for Residual Heterogeneity:
## QE(df = 320) = 2479.8766, p-val < .0001
## 
## Test of Moderators (coefficients 1:2):
## F(df1 = 2, df2 = 320) = 0.4568, p-val = 0.6337
## 
## Model Results:
## 
##                       estimate      se     tval   df    pval    ci.lb   ci.ub 
## solvent2none           -0.0140  0.2687  -0.0523  320  0.9584  -0.5427  0.5146 
## solvent2solvent_used    0.0752  0.2552   0.2949  320  0.7683  -0.4268  0.5772 
##                         
## solvent2none            
## solvent2solvent_used    
## 
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
mod_results(lnVR_mod_solvent2, mod = "solvent2", data = data, group = "study_id")
##           name    estimate    lowerCL   upperCL   lowerPR  upperPR
## 1         None -0.01404355 -0.5427048 0.5146177 -1.695284 1.667197
## 2 Solvent_used  0.07524158 -0.4267601 0.5772433 -1.597807 1.748290
r2_ml(lnVR_mod_solvent2)
##    R2_marginal R2_conditional 
##    0.002930854    0.968125747
# Model
lnVR_mod_solvent2_contrast <- rma.mv(yi = lnVR, V = lnVRVCV, random = list(~1 | study_id,
    ~1 | assay_id, ~1 | species_latin, ~1 | pesticide), mods = ~solvent2, method = "REML",
    test = "t", data = data, sparse = T)

# Summary results
summary(lnVR_mod_solvent2_contrast)
## 
## Multivariate Meta-Analysis Model (k = 322; method: REML)
## 
##    logLik   Deviance        AIC        BIC       AICc   
## -300.4493   600.8985   612.8985   635.5085   613.1669   
## 
## Variance Components:
## 
##             estim    sqrt  nlvls  fixed         factor 
## sigma^2.1  0.0000  0.0000     26     no       study_id 
## sigma^2.2  0.2755  0.5249    322     no       assay_id 
## sigma^2.3  0.3615  0.6013      7     no  species_latin 
## sigma^2.4  0.0210  0.1450     23     no      pesticide 
## 
## Test for Residual Heterogeneity:
## QE(df = 320) = 2479.8766, p-val < .0001
## 
## Test of Moderators (coefficient 2):
## F(df1 = 1, df2 = 320) = 0.8497, p-val = 0.3573
## 
## Model Results:
## 
##                       estimate      se     tval   df    pval    ci.lb   ci.ub 
## intrcpt                -0.0140  0.2687  -0.0523  320  0.9584  -0.5427  0.5146 
## solvent2solvent_used    0.0893  0.0969   0.9218  320  0.3573  -0.1013  0.2798 
##                         
## intrcpt                 
## solvent2solvent_used    
## 
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
mod_results(lnVR_mod_solvent2_contrast, mod = "solvent2", data = data, group = "study_id")
##           name    estimate    lowerCL   upperCL   lowerPR  upperPR
## 1         None -0.01404355 -0.5427048 0.5146177 -1.695284 1.667197
## 2 Solvent_used  0.07524158 -0.4267601 0.5772433 -1.597807 1.748290
r2_ml(lnVR_mod_solvent2_contrast)
##    R2_marginal R2_conditional 
##    0.002930854    0.968125747

Main text Figure 4

# Filter the mod_table for specific pesticide chemical classes
lnRR_pesticide_mod_results_filter <- dplyr::filter(lnRR_pesticide_mod_results$mod_table,
    name == "Triazole" | name == "Triazine" | name == "Pyrethroid" | name == "Organophosphate" |
        name == "Organochlorine")

# Filter the data for the same pesticide chemical classes
lnRR_pesticide_data_filter <- dplyr::filter(lnRR_pesticide_mod_results$data, moderator ==
    "Triazole" | moderator == "Triazine" | moderator == "Pyrethroid" | moderator ==
    "Organophosphate" | moderator == "Organochlorine")

# Create the lnRR_pesticide_orchard object
lnRR_pesticide_orchard2 <- list(mod_table = lnRR_pesticide_mod_results_filter, data = lnRR_pesticide_data_filter)

# Assign the appropriate classes to the object
class(lnRR_pesticide_orchard2) <- c("orchard", "data.frame")

# Filter the mod_table for lnVR_pesticide_mod_results
lnVR_pesticide_mod_results_filter <- dplyr::filter(lnVR_pesticide_mod_results$mod_table,
    name == "Triazole" | name == "Triazine" | name == "Pyrethroid" | name == "Organophosphate" |
        name == "Organochlorine")

# Filter the data for lnVR_pesticide_mod_results
lnVR_pesticide_data_filter <- dplyr::filter(lnVR_pesticide_mod_results$data, moderator ==
    "Triazole" | moderator == "Triazine" | moderator == "Pyrethroid" | moderator ==
    "Organophosphate" | moderator == "Organochlorine")

# Create the lnVR_pesticide_orchard object
lnVR_pesticide_orchard2 <- list(mod_table = lnVR_pesticide_mod_results_filter, data = lnVR_pesticide_data_filter)
class(lnVR_pesticide_orchard2) <- c("orchard", "data.frame")
# Figure 4a)
pesticide.mod.lnRR <- orchaRd::orchard_plot(lnRR_pesticide_orchard2, group = "study_id",
    xlab = "lnRR", data = data, mod = "pesticide_chemical_class", k.pos = "right",
    colour = FALSE, fill = TRUE, legend.pos = "none", trunk.size = 3, branch.size = 1.5,
    twig.size = 1, angle = 45) + scale_fill_manual(values = c(RColorBrewer::brewer.pal(8,
    "Dark2")))

# Figure 4b)
pesticide.mod.lnVR <- orchaRd::orchard_plot(lnVR_pesticide_orchard2, group = "study_id",
    xlab = "lnVR", data = data, mod = "pesticide_chemical_class", k.pos = "right",
    colour = FALSE, fill = TRUE, legend.pos = "none", trunk.size = 3, branch.size = 1.5,
    twig.size = 1, angle = 45) + scale_fill_manual(values = c(RColorBrewer::brewer.pal(8,
    "Dark2"))) + theme(axis.text.y = element_blank())

# Figure 4c)
dosage_bubble_plot.lnRR <- bubble_plot(dosage_mod_lnRR_results, mod = "log_dosage_convert_ugL",
    group = "study_id", data = data_dosage_model, x = "dosage_convert_ugL", y = "lnRR",
    est.lwd = 1, legend.pos = "bottom.right", k.pos = "bottom.left", ci.col = "red",
    pi.col = "black", est.col = "black", g = TRUE) + annotate(geom = "text", x = 7,
    y = 5.8, label = paste0("italic(R)^{2} == ", round(r2_lnRR_dosage[1], 4)), color = "black",
    parse = TRUE, size = 4) + ggtitle("") + theme(plot.title = element_text(size = 18),
    legend.position = "none", axis.title.x = element_text(size = 16), axis.title.y = element_text(size = 16),
    axis.text.y = element_text(size = 14), axis.text.x = element_text(size = 14)) +
    xlab("Dosage")

# Figure 4d)
dosage_bubble_plot.lnVR <- bubble_plot(dosage_mod_lnVR_results, mod = "log_dosage_convert_ugL",
    group = "study_id", data = data_dosage_model, x = "dosage_convert_ugL", y = "lnVR",
    est.lwd = 1, legend.pos = "bottom.right", k.pos = "bottom.left", ci.col = "red",
    pi.col = "black", est.col = "black", g = TRUE) + annotate(geom = "text", x = 7,
    y = 5.8, label = paste0("italic(R)^{2} == ", round(r2_lnVR_dosage[1], 4)), color = "black",
    parse = TRUE, size = 4) + ggtitle("") + theme(plot.title = element_text(size = 18),
    legend.position = "none", axis.title.x = element_text(size = 16), axis.title.y = element_text(size = 16),
    axis.text.y = element_text(size = 14), axis.text.x = element_text(size = 14)) +
    xlab("Dosage")

# Figure 4e)
duration_bubble_plot.lnRR <- bubble_plot(duration_mod_lnRR_results, mod = "duration_convert",
    group = "study_id", data = data_duration_model, x = "duration_convert", y = "lnRR",
    est.lwd = 1, legend.pos = "bottom.right", k.pos = "bottom.left", ci.col = "red",
    pi.col = "black", est.col = "black", g = TRUE) + annotate(geom = "text", x = 2800,
    y = 1.3, label = paste0("italic(R)^{2} == ", round(r2_lnRR_duration[1], 4)),
    color = "black", parse = TRUE, size = 4) + ggtitle("") + theme(plot.title = element_text(size = 18),
    legend.position = "none", axis.title.x = element_text(size = 16), axis.title.y = element_text(size = 16),
    axis.text.y = element_text(size = 14), axis.text.x = element_text(size = 14)) +
    xlab("Duration")

# Figure 4f)
duration_bubble_plot.lnVR <- bubble_plot(lnVR_mod_duration_results, mod = "duration_convert",
    group = "study_id", data = data_duration_model, x = "duration_convert", y = "lnVR",
    est.lwd = 1, legend.pos = "bottom.right", k.pos = "bottom.left", ci.col = "red",
    pi.col = "black", est.col = "black", g = TRUE) + annotate(geom = "text", x = 2800,
    y = 2.1, label = paste0("italic(R)^{2} == ", round(r2_lnVR_duration[1], 4)),
    color = "black", parse = TRUE, size = 4) + ggtitle("") + theme(plot.title = element_text(size = 18),
    legend.position = "none", axis.title.x = element_text(size = 16), axis.title.y = element_text(size = 16),
    axis.text.y = element_text(size = 14), axis.text.x = element_text(size = 14)) +
    xlab("Duration")

# Figure 4g)
solvent.mod.lnRR2 <- orchaRd::orchard_plot(lnRR_mod_solvent2, group = "study_id",
    xlab = "lnRR", data = data, mod = "solvent2", k.pos = "right", colour = FALSE,
    fill = TRUE, legend.pos = "none", trunk.size = 3, branch.size = 1.5, twig.size = 1,
    angle = 45) + scale_fill_manual(values = c(RColorBrewer::brewer.pal(8, "Dark2"),
    "#66C2A5", "#FC8D62", "#8DA0CB", "#E78AC3", "#A6D854"))

# Figure 4h)
solvent.mod.lnVR2 <- orchaRd::orchard_plot(lnVR_mod_solvent2, group = "study_id",
    xlab = "lnVR", data = data, mod = "solvent2", k.pos = "right", colour = FALSE,
    fill = TRUE, legend.pos = "none", trunk.size = 3, branch.size = 1.5, twig.size = 1,
    angle = 45) + scale_fill_manual(values = c(RColorBrewer::brewer.pal(8, "Dark2"),
    "#66C2A5", "#FC8D62", "#8DA0CB", "#E78AC3", "#A6D854")) + theme(axis.text.y = element_blank())

main_text_figure_4 <- (pesticide.mod.lnRR + pesticide.mod.lnVR)/(dosage_bubble_plot.lnRR +
    dosage_bubble_plot.lnVR)/(duration_bubble_plot.lnRR + duration_bubble_plot.lnVR)/(solvent.mod.lnRR2 +
    solvent.mod.lnVR2) + plot_annotation(tag_levels = "A")

print(main_text_figure_4)

# ggsave(here('figures', 'main_text_figure_4.jpg'),width = 28, height = 40,
# units = 'cm', dpi = 800) ggsave(here('figures',
# 'main_text_figure_4.pdf'),width = 28, height = 40, units = 'cm', dpi = 800)

Species characteristics

Moderate by species (lnRR)

# Model
lnRR_mod_species <- rma.mv(yi = lnRR, V = lnRRVCV, random = list(~1 | study_id, ~1 |
    assay_id, ~1 | species_latin, ~1 | pesticide), mods = ~species_english - 1, method = "REML",
    test = "t", data = data, sparse = T)

# Summary results
summary(lnRR_mod_species)
## 
## Multivariate Meta-Analysis Model (k = 448; method: REML)
## 
##    logLik   Deviance        AIC        BIC       AICc   
## -155.4986   310.9973   338.9973   396.1484   339.9902   
## 
## Variance Components:
## 
##             estim    sqrt  nlvls  fixed         factor 
## sigma^2.1  0.0599  0.2448     37     no       study_id 
## sigma^2.2  0.0577  0.2402    448     no       assay_id 
## sigma^2.3  0.0414  0.2034     10     no  species_latin 
## sigma^2.4  0.0091  0.0954     30     no      pesticide 
## 
## Test for Residual Heterogeneity:
## QE(df = 438) = 4113.4236, p-val < .0001
## 
## Test of Moderators (coefficients 1:10):
## F(df1 = 10, df2 = 438) = 1.7271, p-val = 0.0723
## 
## Model Results:
## 
##                                 estimate      se     tval   df    pval    ci.lb 
## species_englishBleak             -1.0922  0.4247  -2.5720  438  0.0104  -1.9268 
## species_englishbrown trout        0.0678  0.3881   0.1748  438  0.8614  -0.6949 
## species_englishguppy             -0.4675  0.3002  -1.5572  438  0.1202  -1.0576 
## species_englishIberian barbel     0.1383  0.4125   0.3352  438  0.7376  -0.6724 
## species_englishJapanese medaka   -0.3932  0.2678  -1.4685  438  0.1427  -0.9194 
## species_englishkillifish         -0.2456  0.2923  -0.8403  438  0.4012  -0.8200 
## species_englishmarine medaka     -0.1522  0.3378  -0.4506  438  0.6525  -0.8162 
## species_englishNile tilapia      -0.6422  0.3964  -1.6201  438  0.1059  -1.4214 
## species_englishsailfin mollie    -0.2627  0.3345  -0.7852  438  0.4328  -0.9201 
## species_englishzebrafish         -0.0314  0.2124  -0.1478  438  0.8826  -0.4489 
##                                   ci.ub    
## species_englishBleak            -0.2576  * 
## species_englishbrown trout       0.8306    
## species_englishguppy             0.1226    
## species_englishIberian barbel    0.9490    
## species_englishJapanese medaka   0.1330    
## species_englishkillifish         0.3288    
## species_englishmarine medaka     0.5117    
## species_englishNile tilapia      0.1369    
## species_englishsailfin mollie    0.3948    
## species_englishzebrafish         0.3861    
## 
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
r2_ml(lnRR_mod_species)
##    R2_marginal R2_conditional 
##      0.1119298      0.9518961
lnRR_species_mod_results <- mod_results(lnRR_mod_species, mod = "species_english",
    data = data, group = "study_id")

Moderate by species (lnVR)

## ModeL
lnVR_mod_species <- rma.mv(yi = lnVR, V = lnVRVCV, random = list(~1 | study_id, ~1 |
    assay_id, ~1 | species_latin, ~1 | pesticide), mods = ~species_english - 1, method = "REML",
    test = "t", data = data, sparse = T)


# Summary results
summary(lnVR_mod_species)
## 
## Multivariate Meta-Analysis Model (k = 448; method: REML)
## 
##    logLik   Deviance        AIC        BIC       AICc   
## -377.8838   755.7676   783.7676   840.9187   784.7605   
## 
## Variance Components:
## 
##             estim    sqrt  nlvls  fixed         factor 
## sigma^2.1  0.0016  0.0398     37     no       study_id 
## sigma^2.2  0.2483  0.4983    448     no       assay_id 
## sigma^2.3  0.0493  0.2220     10     no  species_latin 
## sigma^2.4  0.0133  0.1155     30     no      pesticide 
## 
## Test for Residual Heterogeneity:
## QE(df = 438) = 3559.4309, p-val < .0001
## 
## Test of Moderators (coefficients 1:10):
## F(df1 = 10, df2 = 438) = 0.9211, p-val = 0.5134
## 
## Model Results:
## 
##                                 estimate      se     tval   df    pval    ci.lb 
## species_englishBleak              0.2207  0.4836   0.4564  438  0.6483  -0.7297 
## species_englishbrown trout        0.2881  0.3927   0.7337  438  0.4635  -0.4836 
## species_englishguppy              0.1616  0.3262   0.4955  438  0.6205  -0.4795 
## species_englishIberian barbel     0.0239  0.4836   0.0493  438  0.9607  -0.9265 
## species_englishJapanese medaka   -0.4085  0.2860  -1.4285  438  0.1539  -0.9705 
## species_englishkillifish         -0.2176  0.2721  -0.7998  438  0.4243  -0.7523 
## species_englishmarine medaka     -0.2494  0.2861  -0.8716  438  0.3839  -0.8117 
## species_englishNile tilapia      -0.8106  0.4098  -1.9782  438  0.0485  -1.6159 
## species_englishsailfin mollie     0.2603  0.2757   0.9443  438  0.3455  -0.2815 
## species_englishzebrafish         -0.0431  0.2276  -0.1893  438  0.8499  -0.4905 
##                                   ci.ub    
## species_englishBleak             1.1711    
## species_englishbrown trout       1.0598    
## species_englishguppy             0.8028    
## species_englishIberian barbel    0.9742    
## species_englishJapanese medaka   0.1535    
## species_englishkillifish         0.3171    
## species_englishmarine medaka     0.3130    
## species_englishNile tilapia     -0.0053  * 
## species_englishsailfin mollie    0.8022    
## species_englishzebrafish         0.4043    
## 
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
lnVR_species_mod_results <- mod_results(lnVR_mod_species, mod = "species_english",
    data = data, group = "study_id")

r2_ml(lnVR_mod_species)
##    R2_marginal R2_conditional 
##     0.07062817     0.96033072

Figure s19

The moderating effects of species chemical class on (A) response magnitude and (B) response variability in conspecific interactions. Shorter whiskers represent 95% confidence intervals, while longer whiskers indicate 95% prediction intervals. ‘k’ represents the number of effect sizes, and the number of studies is in brackets. Each circle corresponds to an effect size, with its size scaled according to precision (inverse sampling error variance).

# Figure s19A)
species_all_mod_orchard.lnRR <- orchaRd::orchard_plot(lnRR_mod_species, group = "study_id",
    xlab = "lnRR", data = data, mod = "species_english", g = TRUE, k.pos = "right",
    colour = FALSE, fill = TRUE, legend.pos = "none", trunk.size = 3, branch.size = 1.5,
    twig.size = 1, angle = 45)

# Figure s19B)
species_all_mod_orchard.lnVR <- orchaRd::orchard_plot(lnVR_mod_species, group = "study_id",
    xlab = "lnVR", data = data, mod = "species_english", g = TRUE, k.pos = "right",
    colour = FALSE, fill = TRUE, legend.pos = "none", trunk.size = 3, branch.size = 1.5,
    twig.size = 1, angle = 45) + theme(axis.text.y = element_blank())


species_all_mod_orchard <- species_all_mod_orchard.lnRR + species_all_mod_orchard.lnVR

print(species_all_mod_orchard)

# ggsave(here('figures', 'species_all_mod_orchard.jpg'), plot =
# species_all_mod_orchard, width = 30, height = 18, units = 'cm', dpi = 800)
# ggsave(here('figures', 'species_all_mod_orchard.pdf'),plot =
# species_all_mod_orchard, width = 30, height = 18, units = 'cm', dpi = 800)

Moderate by sex (lnRR)

# Model
lnRR_mod_sex <- rma.mv(yi = lnRR, V = lnRRVCV, random = list(~1 | study_id, ~1 |
    assay_id, ~1 | species_latin, ~1 | pesticide), mods = ~sex - 1, method = "REML",
    test = "t", data = data, sparse = T)

# Summary results
summary(lnRR_mod_sex)
## 
## Multivariate Meta-Analysis Model (k = 448; method: REML)
## 
##    logLik   Deviance        AIC        BIC       AICc   
## -166.8356   333.6713   349.6713   382.4379   350.0023   
## 
## Variance Components:
## 
##             estim    sqrt  nlvls  fixed         factor 
## sigma^2.1  0.0599  0.2447     37     no       study_id 
## sigma^2.2  0.0575  0.2397    448     no       assay_id 
## sigma^2.3  0.0816  0.2857     10     no  species_latin 
## sigma^2.4  0.0078  0.0885     30     no      pesticide 
## 
## Test for Residual Heterogeneity:
## QE(df = 444) = 4958.0180, p-val < .0001
## 
## Test of Moderators (coefficients 1:4):
## F(df1 = 4, df2 = 444) = 1.7540, p-val = 0.1371
## 
## Model Results:
## 
##                  estimate      se     tval   df    pval    ci.lb    ci.ub     
## sexfemale         -0.2844  0.1397  -2.0361  444  0.0423  -0.5590  -0.0099   * 
## sexmale           -0.2671  0.1318  -2.0270  444  0.0433  -0.5260  -0.0081   * 
## sexmixed          -0.3562  0.1368  -2.6041  444  0.0095  -0.6250  -0.0874  ** 
## sexnot reported   -0.1736  0.1647  -1.0544  444  0.2923  -0.4973   0.1500     
## 
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
mod_results(lnRR_mod_sex, mod = "sex", data = data, group = "study_id")  # For prediction intervals
##           name   estimate    lowerCL      upperCL   lowerPR   upperPR
## 1       Female -0.2844447 -0.5590006 -0.009888818 -1.219430 0.6505404
## 2         Male -0.2670605 -0.5260000 -0.008121092 -1.197580 0.6634586
## 3        Mixed -0.3561937 -0.6250184 -0.087369012 -1.289512 0.5771245
## 4 Not reported -0.1736282 -0.4972699  0.150013425 -1.124186 0.7769296
r2_ml(lnRR_mod_sex)
##    R2_marginal R2_conditional 
##      0.0203154      0.9628741
data_sex <- data %>%
    filter(sex == c("male", "female"))

lnRRVCV_sex <- metafor::vcalc(vi = lnRRv, cluster = exp_id, obs = assay_id, data = data_sex,
    rho = 0.5)

lnRR_mod_sex_contrast <- rma.mv(yi = lnRR, V = lnRRVCV_sex, random = list(~1 | study_id,
    ~1 | assay_id, ~1 | species_latin, ~1 | pesticide), mods = ~sex, method = "REML",
    test = "t", data = data_sex, sparse = T)


summary(lnRR_mod_sex_contrast)
## 
## Multivariate Meta-Analysis Model (k = 72; method: REML)
## 
##   logLik  Deviance       AIC       BIC      AICc   
## -16.7421   33.4841   45.4841   58.9751   46.8175   
## 
## Variance Components:
## 
##             estim    sqrt  nlvls  fixed         factor 
## sigma^2.1  0.0000  0.0000     13     no       study_id 
## sigma^2.2  0.0438  0.2094     72     no       assay_id 
## sigma^2.3  0.0227  0.1506      7     no  species_latin 
## sigma^2.4  0.0292  0.1709     14     no      pesticide 
## 
## Test for Residual Heterogeneity:
## QE(df = 70) = 882.3697, p-val < .0001
## 
## Test of Moderators (coefficient 2):
## F(df1 = 1, df2 = 70) = 0.9921, p-val = 0.3227
## 
## Model Results:
## 
##          estimate      se     tval  df    pval    ci.lb   ci.ub    
## intrcpt   -0.2357  0.1195  -1.9725  70  0.0525  -0.4740  0.0026  . 
## sexmale   -0.0809  0.0812  -0.9960  70  0.3227  -0.2429  0.0811    
## 
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

Moderate by sex (lnVR)

# Model
lnVR_mod_sex <- rma.mv(yi = lnVR, V = lnVRVCV, random = list(~1 | study_id, ~1 |
    assay_id, ~1 | species_latin, ~1 | pesticide), mods = ~sex - 1, method = "REML",
    test = "t", data = data, sparse = T)


# Summary results
summary(lnVR_mod_sex)
## 
## Multivariate Meta-Analysis Model (k = 448; method: REML)
## 
##    logLik   Deviance        AIC        BIC       AICc   
## -387.6801   775.3602   791.3602   824.1268   791.6913   
## 
## Variance Components:
## 
##             estim    sqrt  nlvls  fixed         factor 
## sigma^2.1  0.0105  0.1022     37     no       study_id 
## sigma^2.2  0.2502  0.5002    448     no       assay_id 
## sigma^2.3  0.0299  0.1730     10     no  species_latin 
## sigma^2.4  0.0040  0.0634     30     no      pesticide 
## 
## Test for Residual Heterogeneity:
## QE(df = 444) = 3613.1164, p-val < .0001
## 
## Test of Moderators (coefficients 1:4):
## F(df1 = 4, df2 = 444) = 0.5853, p-val = 0.6734
## 
## Model Results:
## 
##                  estimate      se     tval   df    pval    ci.lb   ci.ub    
## sexfemale         -0.0686  0.1288  -0.5331  444  0.5943  -0.3217  0.1844    
## sexmale           -0.0961  0.1046  -0.9186  444  0.3588  -0.3016  0.1095    
## sexmixed          -0.1303  0.1045  -1.2462  444  0.2133  -0.3357  0.0752    
## sexnot reported    0.0381  0.1508   0.2526  444  0.8007  -0.2582  0.3344    
## 
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
mod_results(lnVR_mod_sex, mod = "sex", data = data, group = "study_id")  # For prediction intervals
##           name    estimate    lowerCL    upperCL   lowerPR   upperPR
## 1       Female -0.06863887 -0.3216977 0.18441998 -1.164870 1.0275918
## 2         Male -0.09607752 -0.3016354 0.10948039 -1.182327 0.9901715
## 3        Mixed -0.13027676 -0.3357290 0.07517548 -1.216506 0.9559523
## 4 Not reported  0.03807715 -0.2582014 0.33435569 -1.068930 1.1450838
r2_ml(lnVR_mod_sex)
##    R2_marginal R2_conditional 
##     0.01129353     0.98651090
lnVRVCV_sex <- metafor::vcalc(vi = lnVRv, cluster = exp_id, obs = assay_id, data = data_sex,
    rho = 0.5)

# Model
lnVR_mod_sex_contrast <- rma.mv(yi = lnVR, V = lnVRVCV_sex, random = list(~1 | study_id,
    ~1 | assay_id, ~1 | species_latin, ~1 | pesticide), mods = ~sex, method = "REML",
    test = "t", data = data_sex, sparse = T)

summary(lnVR_mod_sex_contrast)
## 
## Multivariate Meta-Analysis Model (k = 72; method: REML)
## 
##   logLik  Deviance       AIC       BIC      AICc   
## -73.3252  146.6503  158.6503  172.1413  159.9837   
## 
## Variance Components:
## 
##             estim    sqrt  nlvls  fixed         factor 
## sigma^2.1  0.0000  0.0000     13     no       study_id 
## sigma^2.2  0.3612  0.6010     72     no       assay_id 
## sigma^2.3  0.0000  0.0000      7     no  species_latin 
## sigma^2.4  0.0030  0.0550     14     no      pesticide 
## 
## Test for Residual Heterogeneity:
## QE(df = 70) = 514.7340, p-val < .0001
## 
## Test of Moderators (coefficient 2):
## F(df1 = 1, df2 = 70) = 0.5050, p-val = 0.4797
## 
## Model Results:
## 
##          estimate      se     tval  df    pval    ci.lb   ci.ub    
## intrcpt   -0.1526  0.1395  -1.0946  70  0.2775  -0.4308  0.1255    
## sexmale    0.1204  0.1694   0.7107  70  0.4797  -0.2174  0.4582    
## 
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

Moderate by source of fish (lnRR)

data_source <- data %>%
    filter(source %in% c("wild collected", "commercial supplier"))

lnRRVCV_source <- metafor::vcalc(vi = lnRRv, cluster = exp_id, obs = assay_id, data = data_source,
    rho = 0.5)

lnVRVCV_source <- metafor::vcalc(vi = lnVRv, cluster = exp_id, obs = assay_id, data = data_source,
    rho = 0.5)

## ModeL
lnRR_mod_source <- rma.mv(yi = lnRR, V = lnRRVCV, random = list(~1 | study_id, ~1 |
    assay_id, ~1 | species_latin, ~1 | pesticide), mods = ~source - 1, method = "REML",
    test = "t", data = data, sparse = T)

# Summary results
summary(lnRR_mod_source)
## 
## Multivariate Meta-Analysis Model (k = 448; method: REML)
## 
##    logLik   Deviance        AIC        BIC       AICc   
## -162.4387   324.8775   344.8775   385.7906   345.3879   
## 
## Variance Components:
## 
##             estim    sqrt  nlvls  fixed         factor 
## sigma^2.1  0.0542  0.2327     37     no       study_id 
## sigma^2.2  0.0579  0.2406    448     no       assay_id 
## sigma^2.3  0.0836  0.2892     10     no  species_latin 
## sigma^2.4  0.0089  0.0945     30     no      pesticide 
## 
## Test for Residual Heterogeneity:
## QE(df = 442) = 4015.5954, p-val < .0001
## 
## Test of Moderators (coefficients 1:6):
## F(df1 = 6, df2 = 442) = 1.6894, p-val = 0.1218
## 
## Model Results:
## 
##                                                   estimate      se     tval 
## sourcecommercial supplier                          -0.1124  0.1747  -0.6430 
## sourcelaboratory stock from not specified source   -0.1486  0.1548  -0.9600 
## sourcelabratory stock from commercial supplier     -0.0772  0.3051  -0.2529 
## sourcelabratory stock from wild population         -0.0717  0.1904  -0.3764 
## sourcenot reported                                 -0.3323  0.1729  -1.9221 
## sourcewild collected                               -0.5485  0.2000  -2.7429 
##                                                    df    pval    ci.lb    ci.ub 
## sourcecommercial supplier                         442  0.5205  -0.4558   0.2311 
## sourcelaboratory stock from not specified source  442  0.3376  -0.4528   0.1556 
## sourcelabratory stock from commercial supplier    442  0.8005  -0.6768   0.5225 
## sourcelabratory stock from wild population        442  0.7068  -0.4459   0.3025 
## sourcenot reported                                442  0.0552  -0.6721   0.0075 
## sourcewild collected                              442  0.0063  -0.9416  -0.1555 
##                                                      
## sourcecommercial supplier                            
## sourcelaboratory stock from not specified source     
## sourcelabratory stock from commercial supplier       
## sourcelabratory stock from wild population           
## sourcenot reported                                 . 
## sourcewild collected                              ** 
## 
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
mod_results(lnRR_mod_source, mod = "source", data = data, group = "study_id")  # For prediction intervals
##                                         name    estimate    lowerCL
## 1                        Commercial supplier -0.11236635 -0.4558037
## 2 Laboratory stock from not specified source -0.14860217 -0.4528214
## 3   Labratory stock from commercial supplier -0.07715564 -0.6768393
## 4       Labratory stock from wild population -0.07167204 -0.4458538
## 5                               Not reported -0.33232415 -0.6721170
## 6                             Wild collected -0.54854971 -0.9415933
##        upperCL   lowerPR   upperPR
## 1  0.231070991 -1.065382 0.8406489
## 2  0.155617080 -1.088197 0.7909925
## 3  0.522527973 -1.149494 0.9951826
## 4  0.302509711 -1.036193 0.8928490
## 5  0.007468741 -1.284032 0.6193838
## 6 -0.155506140 -1.520544 0.4234441
r2_ml(lnRR_mod_source)
##    R2_marginal R2_conditional 
##     0.05111649     0.95855927
## ModeL
lnRR_mod_source_contrast <- rma.mv(yi = lnRR, V = lnRRVCV_source, random = list(~1 |
    study_id, ~1 | assay_id, ~1 | species_latin, ~1 | pesticide), mods = ~source,
    method = "REML", test = "t", data = data_source, sparse = T)

summary(lnRR_mod_source_contrast)
## 
## Multivariate Meta-Analysis Model (k = 214; method: REML)
## 
##   logLik  Deviance       AIC       BIC      AICc   
## -71.0982  142.1964  154.1964  174.3359  154.6062   
## 
## Variance Components:
## 
##             estim    sqrt  nlvls  fixed         factor 
## sigma^2.1  0.0899  0.2999     13     no       study_id 
## sigma^2.2  0.0544  0.2332    214     no       assay_id 
## sigma^2.3  0.2066  0.4545      6     no  species_latin 
## sigma^2.4  0.0000  0.0000     11     no      pesticide 
## 
## Test for Residual Heterogeneity:
## QE(df = 212) = 2110.3373, p-val < .0001
## 
## Test of Moderators (coefficient 2):
## F(df1 = 1, df2 = 212) = 0.7505, p-val = 0.3873
## 
## Model Results:
## 
##                       estimate      se     tval   df    pval    ci.lb   ci.ub 
## intrcpt                 0.0189  0.4671   0.0405  212  0.9677  -0.9019  0.9397 
## sourcewild collected   -0.4703  0.5429  -0.8663  212  0.3873  -1.5404  0.5998 
##                         
## intrcpt                 
## sourcewild collected    
## 
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

Moderate by source of fish (lnVR)

## Model
lnVR_mod_source <- rma.mv(yi = lnVR, V = lnVRVCV, random = list(~1 | study_id, ~1 |
    assay_id, ~1 | species_latin, ~1 | pesticide), mods = ~source - 1, method = "REML",
    test = "t", data = data, sparse = T)

# Summary results
summary(lnVR_mod_source)
## 
## Multivariate Meta-Analysis Model (k = 448; method: REML)
## 
##    logLik   Deviance        AIC        BIC       AICc   
## -383.7800   767.5601   787.5601   828.4732   788.0705   
## 
## Variance Components:
## 
##             estim    sqrt  nlvls  fixed         factor 
## sigma^2.1  0.0017  0.0417     37     no       study_id 
## sigma^2.2  0.2485  0.4985    448     no       assay_id 
## sigma^2.3  0.0055  0.0742     10     no  species_latin 
## sigma^2.4  0.0178  0.1334     30     no      pesticide 
## 
## Test for Residual Heterogeneity:
## QE(df = 442) = 3580.3382, p-val < .0001
## 
## Test of Moderators (coefficients 1:6):
## F(df1 = 6, df2 = 442) = 1.5336, p-val = 0.1654
## 
## Model Results:
## 
##                                                   estimate      se     tval 
## sourcecommercial supplier                          -0.1429  0.0956  -1.4955 
## sourcelaboratory stock from not specified source   -0.1487  0.0946  -1.5727 
## sourcelabratory stock from commercial supplier      0.1769  0.2894   0.6112 
## sourcelabratory stock from wild population          0.1877  0.1245   1.5075 
## sourcenot reported                                 -0.1048  0.1130  -0.9278 
## sourcewild collected                               -0.1306  0.1788  -0.7304 
##                                                    df    pval    ci.lb   ci.ub 
## sourcecommercial supplier                         442  0.1355  -0.3307  0.0449 
## sourcelaboratory stock from not specified source  442  0.1165  -0.3346  0.0371 
## sourcelabratory stock from commercial supplier    442  0.5414  -0.3919  0.7458 
## sourcelabratory stock from wild population        442  0.1324  -0.0570  0.4323 
## sourcenot reported                                442  0.3540  -0.3268  0.1172 
## sourcewild collected                              442  0.4656  -0.4820  0.2208 
##                                                     
## sourcecommercial supplier                           
## sourcelaboratory stock from not specified source    
## sourcelabratory stock from commercial supplier      
## sourcelabratory stock from wild population          
## sourcenot reported                                  
## sourcewild collected                                
## 
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
mod_results(lnVR_mod_source, mod = "source", data = data, group = "study_id")  # For prediction intervals
##                                         name   estimate     lowerCL    upperCL
## 1                        Commercial supplier -0.1429156 -0.33072809 0.04489699
## 2 Laboratory stock from not specified source -0.1487342 -0.33460711 0.03713867
## 3   Labratory stock from commercial supplier  0.1769108 -0.39193868 0.74576038
## 4       Labratory stock from wild population  0.1876691 -0.05699927 0.43233749
## 5                               Not reported -0.1048088 -0.32683132 0.11721381
## 6                             Wild collected -0.1305961 -0.48201504 0.22082292
##      lowerPR   upperPR
## 1 -1.1878016 0.9019705
## 2 -1.1932734 0.8958049
## 3 -0.9978671 1.3516888
## 4 -0.8689178 1.2442560
## 5 -1.1563825 0.9467650
## 6 -1.2168781 0.9556860
r2_ml(lnVR_mod_source)
##    R2_marginal R2_conditional 
##     0.04001628     0.93756601
lnVR_mod_source_contrast <- rma.mv(yi = lnVR, V = lnVRVCV_source, random = list(~1 |
    study_id, ~1 | assay_id, ~1 | species_latin, ~1 | pesticide), mods = ~source,
    method = "REML", test = "t", data = data_source, sparse = TRUE)

summary(lnVR_mod_source_contrast)
## 
## Multivariate Meta-Analysis Model (k = 214; method: REML)
## 
##    logLik   Deviance        AIC        BIC       AICc   
## -185.5394   371.0788   383.0788   403.2183   383.4886   
## 
## Variance Components:
## 
##             estim    sqrt  nlvls  fixed         factor 
## sigma^2.1  0.0055  0.0744     13     no       study_id 
## sigma^2.2  0.2727  0.5222    214     no       assay_id 
## sigma^2.3  0.0000  0.0000      6     no  species_latin 
## sigma^2.4  0.0090  0.0948     11     no      pesticide 
## 
## Test for Residual Heterogeneity:
## QE(df = 212) = 2050.7825, p-val < .0001
## 
## Test of Moderators (coefficient 2):
## F(df1 = 1, df2 = 212) = 0.0655, p-val = 0.7982
## 
## Model Results:
## 
##                       estimate      se     tval   df    pval    ci.lb   ci.ub 
## intrcpt                -0.0966  0.0712  -1.3566  212  0.1763  -0.2369  0.0437 
## sourcewild collected   -0.0490  0.1915  -0.2560  212  0.7982  -0.4265  0.3285 
##                         
## intrcpt                 
## sourcewild collected    
## 
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

Figure 5

# Filter the mod_table for specific pesticide chemical classes
lnRR_species_mod_results_filter <- dplyr::filter(lnRR_species_mod_results$mod_table,
    name == "Zebrafish" | name == "Sailfin mollie" | name == "Marine Medaka" | name ==
        "Killifish" | name == "Japanese medaka")

# Filter the data for the same pesticide chemical classes
lnRR_species_data_filter <- dplyr::filter(lnRR_species_mod_results$data, moderator ==
    "Zebrafish" | moderator == "Sailfin mollie" | moderator == "Marine Medaka" |
    moderator == "Killifish" | moderator == "Japanese medaka")

# Create the lnRR_pesticide_orchard object
lnRR_species_orchard <- list(mod_table = lnRR_species_mod_results_filter, data = lnRR_species_data_filter)

# Assign the appropriate classes to the object
class(lnRR_species_orchard) <- c("orchard", "data.frame")

# First plot (lnRR_mod_species)
species.mod_orchard.lnRR2 <- orchaRd::orchard_plot(lnRR_mod_species, group = "study_id",
    xlab = "lnRR", data = data, mod = "species_english", k.pos = "right", colour = FALSE,
    fill = TRUE, trunk.size = 3, branch.size = 1.5, twig.size = 1, angle = 45) +
    scale_fill_manual(values = c(RColorBrewer::brewer.pal(8, "Dark2"), "#66C2A5",
        "#FC8D62", "#8DA0CB", "#E78AC3", "#A6D854"))

# Filter the mod_table for specific pesticide chemical classes
lnVR_species_mod_results_filter <- dplyr::filter(lnVR_species_mod_results$mod_table,
    name == "Zebrafish" | name == "Sailfin mollie" | name == "Marine Medaka" | name ==
        "Killifish" | name == "Japanese medaka")

# Filter the data for the same pesticide chemical classes
lnVR_species_data_filter <- dplyr::filter(lnVR_species_mod_results$data, moderator ==
    "Zebrafish" | moderator == "Sailfin mollie" | moderator == "Marine Medaka" |
    moderator == "Killifish" | moderator == "Japanese medaka")

# Create the lnVR_pesticide_orchard object
lnVR_species_orchard <- list(mod_table = lnVR_species_mod_results_filter, data = lnVR_species_data_filter)

# Assign the appropriate classes to the object
class(lnVR_species_orchard) <- c("orchard", "data.frame")

# Second plot (lnVR_mod_species)
species.mod_orchard.lnVR2 <- orchaRd::orchard_plot(lnVR_mod_species, group = "study_id",
    xlab = "lnVR", data = data, mod = "species_english", k.pos = "right", colour = FALSE,
    fill = TRUE, trunk.size = 3, branch.size = 1.5, twig.size = 1, angle = 45) +
    scale_fill_manual(values = c(RColorBrewer::brewer.pal(8, "Dark2"), "#66C2A5",
        "#FC8D62", "#8DA0CB", "#E78AC3", "#A6D854")) + theme(axis.text.y = element_blank())
# Figure 5a)
species.mod_orchard.lnRR <- orchaRd::orchard_plot(lnRR_species_orchard,
             group = "study_id", 
             xlab = "lnRR",
             data = data,
             mod = "species_english",
             k.pos = "right",
             colour = FALSE,
             fill = TRUE,  # Set fill to TRUE to match the style
             trunk.size = 3, 
             legend.pos = "none",
             branch.size = 1.5,
             twig.size = 1,
             angle = 45) +
  scale_fill_manual(values = c(RColorBrewer::brewer.pal(8, "Dark2"), 
                               "#66C2A5", "#FC8D62", "#8DA0CB", "#E78AC3", "#A6D854")) 

# Figure 5b)
species.mod_orchard.lnVR <- orchaRd::orchard_plot(lnVR_species_orchard,
             group = "study_id", 
             xlab = "lnVR",
             data = data,
             mod = "species_english",
             k.pos = "right",
             colour = FALSE,
             fill = TRUE,  # Set fill to TRUE to match the style
             trunk.size = 3, 
             legend.pos = "none",
             branch.size = 1.5,
             twig.size = 1,
             angle = 45) +
  scale_fill_manual(values = c(RColorBrewer::brewer.pal(8, "Dark2"), 
                               "#66C2A5", "#FC8D62", "#8DA0CB", "#E78AC3", "#A6D854")) +
  theme(axis.text.y = element_blank())

# Figure 5c)
sex_mod_orchard.lnRR <- orchaRd::orchard_plot(lnRR_mod_sex,
             group = "study_id", 
             xlab = "lnRR",
             data = data,
             mod = "sex",
             k.pos = "right",
             colour = FALSE,
             fill = TRUE,  
             trunk.size = 3, 
             legend.pos = "none",
             branch.size = 1.5,
             twig.size = 1,
             angle = 45) +
  scale_fill_manual(values = c(RColorBrewer::brewer.pal(8, "Dark2"), 
                               "#66C2A5", "#FC8D62", "#8DA0CB", "#E78AC3", "#A6D854")) 

# Figure 5d)
sex_mod_orchard.lnVR <- orchaRd::orchard_plot(lnVR_mod_sex,
             group = "study_id", 
             xlab = "lnVR",
             data = data,
             mod = "sex",
             k.pos = "right",
             colour = FALSE,
             fill = TRUE,  
             trunk.size = 3, 
             legend.pos = "none",
             branch.size = 1.5,
             twig.size = 1,
             angle = 45) +
  scale_fill_manual(values = c(RColorBrewer::brewer.pal(8, "Dark2"), 
                               "#66C2A5", "#FC8D62", "#8DA0CB", "#E78AC3", "#A6D854")) +
  theme(axis.text.y = element_blank())

# Figure 5e)
source_mod_orchard.lnRR <- orchaRd::orchard_plot(lnRR_mod_source_contrast,
             group = "study_id", 
             xlab = "lnRR",
             data = data_source,
             mod = "source",
             k.pos = "right",
             colour = FALSE,
             fill = TRUE,  
             trunk.size = 3, 
             legend.pos = "none",
             branch.size = 1.5,
             twig.size = 1,
             angle = 45) +
  scale_fill_manual(values = c(RColorBrewer::brewer.pal(8, "Dark2"), 
                               "#66C2A5", "#FC8D62", "#8DA0CB", "#E78AC3", "#A6D854")) 

# Figure 5f)
source_mod_orchard.lnVR <- orchaRd::orchard_plot(lnVR_mod_source_contrast,
             group = "study_id", 
             xlab = "lnVR",
             data = data_source,
             mod = "source",
             k.pos = "right",
             colour = FALSE,
             fill = TRUE,  
             legend.pos = "none",
             trunk.size = 3, 
             branch.size = 1.5,
             twig.size = 1,
             angle = 45) +
  scale_fill_manual(values = c(RColorBrewer::brewer.pal(8, "Dark2"), 
                               "#66C2A5", "#FC8D62", "#8DA0CB", "#E78AC3", "#A6D854")) +
  theme(axis.text.y = element_blank())



# Combine the plots
main_text_figure_5 <- (species.mod_orchard.lnRR + species.mod_orchard.lnVR)/ (sex_mod_orchard.lnRR + sex_mod_orchard.lnVR)/ (source_mod_orchard.lnRR + source_mod_orchard.lnVR) + plot_annotation(tag_levels = "A")

print(main_text_figure_5)

# ggsave(here("figures", "main_text_figure_5.jpg"), plot = main_text_figure_5,width = 28, height = 30, units = "cm", dpi = 800)
# ggsave(here("figures", "main_text_figure_5.pdf"), plot = main_text_figure_5, width = 28, height = 30, units = "cm", dpi = 800)

Model selection and multi-model inference

lnRR model selection and multi-model inference

# save to save time - running this model is time-consuming

# saveRDS(mlmr.dredge.lnRR, file = 'mlmr.dredge.lnRR.Rds')
mlmr.dredge.lnRR <- readRDS(here("R.data", file = "mlmr.dredge.lnRR.Rds"))

# save(mlmr.dredge.lnRR, file = 'mlmr.dredge.lnRR.Rdata')
load(here("R.data", "mlmr.dredge.lnRR.Rdata"))

### LOAD DATA RATHER THAN RUN MODEL ###
mlmr.full.lnRR <- rma.mv(yi = lnRR, V = lnRRVCV, random = list(~1 | study_id, ~1 |
    assay_id, ~1 | species_latin, ~1 | pesticide), mods = ~behaviour_measured_standardised +
    behavioural_assay_standardised2 + pesticide_chemical_class + control_solvent +
    species_latin + sex + source, method = "ML", test = "t", data = data, sparse = T)

###

r2_ml(mlmr.full.lnRR, data = data)
##    R2_marginal R2_conditional 
##      0.7137822      1.0000000
eval(metafor:::.MuMIn)  # use eval() function to extract helper functions from MuMIn and make them usable in metafor.

mlmr.dredge.lnRR <- dredge(mlmr.full.lnRR, beta = "none", evaluate = TRUE, rank = "AICc",
    trace = 2)
## 
  |                                                                            
  |                                                                      |   0%
  |                                                                            
  |=                                                                     |   1%
  |                                                                            
  |=                                                                     |   2%
  |                                                                            
  |==                                                                    |   2%
  |                                                                            
  |==                                                                    |   3%
  |                                                                            
  |===                                                                   |   4%
  |                                                                            
  |===                                                                   |   5%
  |                                                                            
  |====                                                                  |   5%
  |                                                                            
  |====                                                                  |   6%
  |                                                                            
  |=====                                                                 |   7%
  |                                                                            
  |=====                                                                 |   8%
  |                                                                            
  |======                                                                |   9%
  |                                                                            
  |=======                                                               |   9%
  |                                                                            
  |=======                                                               |  10%
  |                                                                            
  |========                                                              |  11%
  |                                                                            
  |========                                                              |  12%
  |                                                                            
  |=========                                                             |  12%
  |                                                                            
  |=========                                                             |  13%
  |                                                                            
  |==========                                                            |  14%
  |                                                                            
  |==========                                                            |  15%
  |                                                                            
  |===========                                                           |  16%
  |                                                                            
  |============                                                          |  17%
  |                                                                            
  |=============                                                         |  18%
  |                                                                            
  |=============                                                         |  19%
  |                                                                            
  |==============                                                        |  20%
  |                                                                            
  |===============                                                       |  21%
  |                                                                            
  |===============                                                       |  22%
  |                                                                            
  |================                                                      |  23%
  |                                                                            
  |=================                                                     |  24%
  |                                                                            
  |==================                                                    |  25%
  |                                                                            
  |==================                                                    |  26%
  |                                                                            
  |===================                                                   |  27%
  |                                                                            
  |====================                                                  |  28%
  |                                                                            
  |====================                                                  |  29%
  |                                                                            
  |=====================                                                 |  30%
  |                                                                            
  |======================                                                |  31%
  |                                                                            
  |======================                                                |  32%
  |                                                                            
  |=======================                                               |  33%
  |                                                                            
  |========================                                              |  34%
  |                                                                            
  |=========================                                             |  35%
  |                                                                            
  |=========================                                             |  36%
  |                                                                            
  |==========================                                            |  37%
  |                                                                            
  |==========================                                            |  38%
  |                                                                            
  |===========================                                           |  38%
  |                                                                            
  |===========================                                           |  39%
  |                                                                            
  |============================                                          |  40%
  |                                                                            
  |============================                                          |  41%
  |                                                                            
  |=============================                                         |  41%
  |                                                                            
  |==============================                                        |  42%
  |                                                                            
  |==============================                                        |  43%
  |                                                                            
  |===============================                                       |  44%
  |                                                                            
  |===============================                                       |  45%
  |                                                                            
  |================================                                      |  45%
  |                                                                            
  |================================                                      |  46%
  |                                                                            
  |=================================                                     |  47%
  |                                                                            
  |=================================                                     |  48%
  |                                                                            
  |==================================                                    |  48%
  |                                                                            
  |==================================                                    |  49%
  |                                                                            
  |===================================                                   |  50%
  |                                                                            
  |====================================                                  |  51%
  |                                                                            
  |====================================                                  |  52%
  |                                                                            
  |=====================================                                 |  52%
  |                                                                            
  |=====================================                                 |  53%
  |                                                                            
  |======================================                                |  54%
  |                                                                            
  |======================================                                |  55%
  |                                                                            
  |=======================================                               |  55%
  |                                                                            
  |=======================================                               |  56%
  |                                                                            
  |========================================                              |  57%
  |                                                                            
  |========================================                              |  58%
  |                                                                            
  |=========================================                             |  59%
  |                                                                            
  |==========================================                            |  59%
  |                                                                            
  |==========================================                            |  60%
  |                                                                            
  |===========================================                           |  61%
  |                                                                            
  |===========================================                           |  62%
  |                                                                            
  |============================================                          |  62%
  |                                                                            
  |============================================                          |  63%
  |                                                                            
  |=============================================                         |  64%
  |                                                                            
  |=============================================                         |  65%
  |                                                                            
  |==============================================                        |  66%
  |                                                                            
  |===============================================                       |  67%
  |                                                                            
  |================================================                      |  68%
  |                                                                            
  |================================================                      |  69%
  |                                                                            
  |=================================================                     |  70%
  |                                                                            
  |==================================================                    |  71%
  |                                                                            
  |==================================================                    |  72%
  |                                                                            
  |===================================================                   |  73%
  |                                                                            
  |====================================================                  |  74%
  |                                                                            
  |====================================================                  |  75%
  |                                                                            
  |=====================================================                 |  76%
  |                                                                            
  |======================================================                |  77%
  |                                                                            
  |=======================================================               |  78%
  |                                                                            
  |=======================================================               |  79%
  |                                                                            
  |========================================================              |  80%
  |                                                                            
  |=========================================================             |  81%
  |                                                                            
  |=========================================================             |  82%
  |                                                                            
  |==========================================================            |  83%
  |                                                                            
  |===========================================================           |  84%
  |                                                                            
  |============================================================          |  85%
  |                                                                            
  |============================================================          |  86%
  |                                                                            
  |=============================================================         |  87%
  |                                                                            
  |=============================================================         |  88%
  |                                                                            
  |==============================================================        |  88%
  |                                                                            
  |==============================================================        |  89%
  |                                                                            
  |===============================================================       |  90%
  |                                                                            
  |===============================================================       |  91%
  |                                                                            
  |================================================================      |  91%
  |                                                                            
  |=================================================================     |  92%
  |                                                                            
  |=================================================================     |  93%
  |                                                                            
  |==================================================================    |  94%
  |                                                                            
  |==================================================================    |  95%
  |                                                                            
  |===================================================================   |  95%
  |                                                                            
  |===================================================================   |  96%
  |                                                                            
  |====================================================================  |  97%
  |                                                                            
  |====================================================================  |  98%
  |                                                                            
  |===================================================================== |  98%
  |                                                                            
  |===================================================================== |  99%
# multimodel inference
summary(mlmr.full.lnRR)
## 
## Multivariate Meta-Analysis Model (k = 281; method: ML)
## 
##   logLik  Deviance       AIC       BIC      AICc   
## -74.4430  684.7398  220.8860  351.8668  231.8040   
## 
## Variance Components:
## 
##             estim    sqrt  nlvls  fixed         factor 
## sigma^2.1  0.0000  0.0000     28     no       study_id 
## sigma^2.2  0.0487  0.2207    281     no       assay_id 
## sigma^2.3  0.0000  0.0000      8     no  species_latin 
## sigma^2.4  0.0000  0.0000     24     no      pesticide 
## 
## Test for Residual Heterogeneity:
## QE(df = 249) = 1428.3135, p-val < .0001
## 
## Test of Moderators (coefficients 2:32):
## F(df1 = 31, df2 = 249) = 6.6242, p-val < .0001
## 
## Model Results:
## 
##                                                      estimate      se     tval 
## intrcpt                                               -0.8067  0.3634  -2.2200 
## behaviour_measured_standardisedcollective behaviour    2.3242  0.7374   3.1520 
## behaviour_measured_standardisedcourtship              -0.0672  0.1025  -0.6553 
## behaviour_measured_standardisedsociality              -0.0794  0.0578  -1.3745 
## behavioural_assay_standardised2entry                  -0.1847  0.1426  -1.2948 
## behavioural_assay_standardised2zone                   -0.0563  0.0628  -0.8970 
## pesticide_chemical_classcarbamate                     -1.0406  0.3319  -3.1353 
## pesticide_chemical_classneonicotinoid                  0.2983  0.2057   1.4505 
## pesticide_chemical_classorganochlorine                -0.1451  0.2497  -0.5813 
## pesticide_chemical_classorganophosphate               -0.4643  0.1958  -2.3708 
## pesticide_chemical_classphenoxy                       -0.3825  0.3003  -1.2739 
## pesticide_chemical_classpyrethroid                    -0.0307  0.2119  -0.1448 
## pesticide_chemical_classrotenones                      0.8495  0.3279   2.5910 
## pesticide_chemical_classtriazine                       0.0417  0.2913   0.1431 
## pesticide_chemical_classtriazole                      -0.4696  0.2073  -2.2655 
## pesticide_chemical_classurea                           0.4112  0.3158   1.3020 
## control_solventDMSO                                    1.3869  0.6323   2.1934 
## control_solventDTNB                                    0.5286  0.2749   1.9232 
## control_solventnone                                    1.1764  0.6257   1.8801 
## control_solventnot reported                            1.5010  0.6373   2.3552 
## species_latinDanio rerio                              -0.2626  0.5797  -0.4530 
## species_latinJenynsia multidentata                    -0.5058  0.6044  -0.8368 
## species_latinOryzias latipes                          -0.8890  0.6325  -1.4054 
## species_latinOryzias melastigma                       -0.9083  0.6104  -1.4879 
## species_latinPoecilia latipinna                       -0.9875  0.6259  -1.5777 
## species_latinPoecilia reticulata                      -0.7434  0.5916  -1.2566 
## sexmale                                               -0.1280  0.0912  -1.4042 
## sexmixed                                               0.0600  0.1214   0.4943 
## sexnot reported                                       -0.5319  0.2268  -2.3449 
## sourcelaboratory stock from not specified source      -0.0903  0.1426  -0.6329 
## sourcelabratory stock from wild population             0.1398  0.3458   0.4043 
## sourcenot reported                                     0.2109  0.2681   0.7867 
##                                                       df    pval    ci.lb 
## intrcpt                                              249  0.0273  -1.5223 
## behaviour_measured_standardisedcollective behaviour  249  0.0018   0.8719 
## behaviour_measured_standardisedcourtship             249  0.5129  -0.2691 
## behaviour_measured_standardisedsociality             249  0.1705  -0.1932 
## behavioural_assay_standardised2entry                 249  0.1966  -0.4655 
## behavioural_assay_standardised2zone                  249  0.3706  -0.1799 
## pesticide_chemical_classcarbamate                    249  0.0019  -1.6942 
## pesticide_chemical_classneonicotinoid                249  0.1482  -0.1068 
## pesticide_chemical_classorganochlorine               249  0.5616  -0.6369 
## pesticide_chemical_classorganophosphate              249  0.0185  -0.8500 
## pesticide_chemical_classphenoxy                      249  0.2039  -0.9740 
## pesticide_chemical_classpyrethroid                   249  0.8850  -0.4480 
## pesticide_chemical_classrotenones                    249  0.0101   0.2038 
## pesticide_chemical_classtriazine                     249  0.8863  -0.5320 
## pesticide_chemical_classtriazole                     249  0.0243  -0.8778 
## pesticide_chemical_classurea                         249  0.1941  -0.2108 
## control_solventDMSO                                  249  0.0292   0.1416 
## control_solventDTNB                                  249  0.0556  -0.0127 
## control_solventnone                                  249  0.0613  -0.0560 
## control_solventnot reported                          249  0.0193   0.2458 
## species_latinDanio rerio                             249  0.6510  -1.4044 
## species_latinJenynsia multidentata                   249  0.4035  -1.6963 
## species_latinOryzias latipes                         249  0.1612  -2.1348 
## species_latinOryzias melastigma                      249  0.1380  -2.1105 
## species_latinPoecilia latipinna                      249  0.1159  -2.2202 
## species_latinPoecilia reticulata                     249  0.2101  -1.9087 
## sexmale                                              249  0.1615  -0.3075 
## sexmixed                                             249  0.6216  -0.1791 
## sexnot reported                                      249  0.0198  -0.9787 
## sourcelaboratory stock from not specified source     249  0.5274  -0.3712 
## sourcelabratory stock from wild population           249  0.6863  -0.5413 
## sourcenot reported                                   249  0.4322  -0.3171 
##                                                        ci.ub     
## intrcpt                                              -0.0910   * 
## behaviour_measured_standardisedcollective behaviour   3.7765  ** 
## behaviour_measured_standardisedcourtship              0.1347     
## behaviour_measured_standardisedsociality              0.0344     
## behavioural_assay_standardised2entry                  0.0962     
## behavioural_assay_standardised2zone                   0.0673     
## pesticide_chemical_classcarbamate                    -0.3869  ** 
## pesticide_chemical_classneonicotinoid                 0.7034     
## pesticide_chemical_classorganochlorine                0.3466     
## pesticide_chemical_classorganophosphate              -0.0786   * 
## pesticide_chemical_classphenoxy                       0.2089     
## pesticide_chemical_classpyrethroid                    0.3866     
## pesticide_chemical_classrotenones                     1.4953   * 
## pesticide_chemical_classtriazine                      0.6153     
## pesticide_chemical_classtriazole                     -0.0613   * 
## pesticide_chemical_classurea                          1.0331     
## control_solventDMSO                                   2.6323   * 
## control_solventDTNB                                   1.0700   . 
## control_solventnone                                   2.4089   . 
## control_solventnot reported                           2.7562   * 
## species_latinDanio rerio                              0.8792     
## species_latinJenynsia multidentata                    0.6847     
## species_latinOryzias latipes                          0.3569     
## species_latinOryzias melastigma                       0.2940     
## species_latinPoecilia latipinna                       0.2452     
## species_latinPoecilia reticulata                      0.4218     
## sexmale                                               0.0515     
## sexmixed                                              0.2991     
## sexnot reported                                      -0.0851   * 
## sourcelaboratory stock from not specified source      0.1906     
## sourcelabratory stock from wild population            0.8210     
## sourcenot reported                                    0.7389     
## 
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
# Select 'best' models based on delta <= 2
best_model <- subset(mlmr.dredge.lnRR, delta <= 2, recalc.weights = FALSE)

# Display the results in a scrollable kable table
best_model %>%
    kable("html") %>%
    kable_styling("bordered", position = "left") %>%
    scroll_box(width = "100%", height = "800px")
(Intercept) behaviour_measured_standardised behavioural_assay_standardised2 control_solvent pesticide_chemical_class sex source species_latin df logLik AICc delta weight
95
NA
NA
31 -76.55126 223.0704 0 0.5697049
# Relative importance values for the predictors
weights_lnRR <- sw(mlmr.dredge.lnRR)

# Convert the named vector into a data frame
weights_lnRR_df <- data.frame(predictor = names(weights_lnRR), weight = as.numeric(weights_lnRR),
    R2_marginal = c(0.07, 0.103, 0.009, 0.092, 0.112, 0.02, 0.051))
# Save to save time - running this model is time-consuming

# saveRDS(mlmr.dredge.lnVR, file = "mlmr.dredge.lnVR.Rds")
mlmr.dredge.lnVR <- readRDS(here("R.data",file = "mlmr.dredge.lnVR.Rds"))

# save(mlmr.dredge.lnVR, file = "mlmr.dredge.lnVR.Rdata") 
load(here("R.data", "mlmr.dredge.lnVR.Rdata"))

### LOAD DATA RATHER THAN RUN MODEL ###
mlmr.full.lnVR <- rma.mv(yi = lnVR, 
                    V = lnVRVCV, 
                    random = list(~1 | study_id,
                                             ~1 | assay_id,
                                             ~1 | species_latin,
                                             ~1 | pesticide),
 mods = ~ behaviour_measured_standardised + behavioural_assay_standardised2 + pesticide_chemical_class + control_solvent +
                      species_latin + sex +  source, 
                     method = "ML", 
                    test = "t", 
                    data = data, 
                    sparse = TRUE)

###

r2_ml(mlmr.full.lnVR, data = data)
##    R2_marginal R2_conditional 
##      0.3057053      1.0000000
eval(metafor:::.MuMIn)  # use eval() to extract helper functions from MuMIn and make them usable in metafor.

mlmr.dredge.lnVR <- dredge(mlmr.full.lnVR, beta = "none", evaluate = TRUE, rank = "AICc", trace = 2)
## 
  |                                                                            
  |                                                                      |   0%
  |                                                                            
  |=                                                                     |   1%
  |                                                                            
  |=                                                                     |   2%
  |                                                                            
  |==                                                                    |   2%
  |                                                                            
  |==                                                                    |   3%
  |                                                                            
  |===                                                                   |   4%
  |                                                                            
  |===                                                                   |   5%
  |                                                                            
  |====                                                                  |   5%
  |                                                                            
  |====                                                                  |   6%
  |                                                                            
  |=====                                                                 |   7%
  |                                                                            
  |=====                                                                 |   8%
  |                                                                            
  |======                                                                |   9%
  |                                                                            
  |=======                                                               |   9%
  |                                                                            
  |=======                                                               |  10%
  |                                                                            
  |========                                                              |  11%
  |                                                                            
  |========                                                              |  12%
  |                                                                            
  |=========                                                             |  12%
  |                                                                            
  |=========                                                             |  13%
  |                                                                            
  |==========                                                            |  14%
  |                                                                            
  |==========                                                            |  15%
  |                                                                            
  |===========                                                           |  16%
  |                                                                            
  |============                                                          |  17%
  |                                                                            
  |=============                                                         |  18%
  |                                                                            
  |=============                                                         |  19%
  |                                                                            
  |==============                                                        |  20%
  |                                                                            
  |===============                                                       |  21%
  |                                                                            
  |===============                                                       |  22%
  |                                                                            
  |================                                                      |  23%
  |                                                                            
  |=================                                                     |  24%
  |                                                                            
  |==================                                                    |  25%
  |                                                                            
  |==================                                                    |  26%
  |                                                                            
  |===================                                                   |  27%
  |                                                                            
  |====================                                                  |  28%
  |                                                                            
  |====================                                                  |  29%
  |                                                                            
  |=====================                                                 |  30%
  |                                                                            
  |======================                                                |  31%
  |                                                                            
  |======================                                                |  32%
  |                                                                            
  |=======================                                               |  33%
  |                                                                            
  |========================                                              |  34%
  |                                                                            
  |=========================                                             |  35%
  |                                                                            
  |=========================                                             |  36%
  |                                                                            
  |==========================                                            |  37%
  |                                                                            
  |==========================                                            |  38%
  |                                                                            
  |===========================                                           |  38%
  |                                                                            
  |===========================                                           |  39%
  |                                                                            
  |============================                                          |  40%
  |                                                                            
  |============================                                          |  41%
  |                                                                            
  |=============================                                         |  41%
  |                                                                            
  |==============================                                        |  42%
  |                                                                            
  |==============================                                        |  43%
  |                                                                            
  |===============================                                       |  44%
  |                                                                            
  |===============================                                       |  45%
  |                                                                            
  |================================                                      |  45%
  |                                                                            
  |================================                                      |  46%
  |                                                                            
  |=================================                                     |  47%
  |                                                                            
  |=================================                                     |  48%
  |                                                                            
  |==================================                                    |  48%
  |                                                                            
  |==================================                                    |  49%
  |                                                                            
  |===================================                                   |  50%
  |                                                                            
  |====================================                                  |  51%
  |                                                                            
  |====================================                                  |  52%
  |                                                                            
  |=====================================                                 |  52%
  |                                                                            
  |=====================================                                 |  53%
  |                                                                            
  |======================================                                |  54%
  |                                                                            
  |======================================                                |  55%
  |                                                                            
  |=======================================                               |  55%
  |                                                                            
  |=======================================                               |  56%
  |                                                                            
  |========================================                              |  57%
  |                                                                            
  |========================================                              |  58%
  |                                                                            
  |=========================================                             |  59%
  |                                                                            
  |==========================================                            |  59%
  |                                                                            
  |==========================================                            |  60%
  |                                                                            
  |===========================================                           |  61%
  |                                                                            
  |===========================================                           |  62%
  |                                                                            
  |============================================                          |  62%
  |                                                                            
  |============================================                          |  63%
  |                                                                            
  |=============================================                         |  64%
  |                                                                            
  |=============================================                         |  65%
  |                                                                            
  |==============================================                        |  66%
  |                                                                            
  |===============================================                       |  67%
  |                                                                            
  |================================================                      |  68%
  |                                                                            
  |================================================                      |  69%
  |                                                                            
  |=================================================                     |  70%
  |                                                                            
  |==================================================                    |  71%
  |                                                                            
  |==================================================                    |  72%
  |                                                                            
  |===================================================                   |  73%
  |                                                                            
  |====================================================                  |  74%
  |                                                                            
  |====================================================                  |  75%
  |                                                                            
  |=====================================================                 |  76%
  |                                                                            
  |======================================================                |  77%
  |                                                                            
  |=======================================================               |  78%
  |                                                                            
  |=======================================================               |  79%
  |                                                                            
  |========================================================              |  80%
  |                                                                            
  |=========================================================             |  81%
  |                                                                            
  |=========================================================             |  82%
  |                                                                            
  |==========================================================            |  83%
  |                                                                            
  |===========================================================           |  84%
  |                                                                            
  |============================================================          |  85%
  |                                                                            
  |============================================================          |  86%
  |                                                                            
  |=============================================================         |  87%
  |                                                                            
  |=============================================================         |  88%
  |                                                                            
  |==============================================================        |  88%
  |                                                                            
  |==============================================================        |  89%
  |                                                                            
  |===============================================================       |  90%
  |                                                                            
  |===============================================================       |  91%
  |                                                                            
  |================================================================      |  91%
  |                                                                            
  |=================================================================     |  92%
  |                                                                            
  |=================================================================     |  93%
  |                                                                            
  |==================================================================    |  94%
  |                                                                            
  |==================================================================    |  95%
  |                                                                            
  |===================================================================   |  95%
  |                                                                            
  |===================================================================   |  96%
  |                                                                            
  |====================================================================  |  97%
  |                                                                            
  |====================================================================  |  98%
  |                                                                            
  |===================================================================== |  98%
  |                                                                            
  |===================================================================== |  99%
# Multimodel inference
summary(mlmr.full.lnVR)
## 
## Multivariate Meta-Analysis Model (k = 281; method: ML)
## 
##    logLik   Deviance        AIC        BIC       AICc   
## -178.5601   744.7362   429.1203   560.1010   440.0383   
## 
## Variance Components:
## 
##             estim    sqrt  nlvls  fixed         factor 
## sigma^2.1  0.0000  0.0000     28     no       study_id 
## sigma^2.2  0.1513  0.3889    281     no       assay_id 
## sigma^2.3  0.0000  0.0000      8     no  species_latin 
## sigma^2.4  0.0000  0.0000     24     no      pesticide 
## 
## Test for Residual Heterogeneity:
## QE(df = 249) = 1653.7460, p-val < .0001
## 
## Test of Moderators (coefficients 2:32):
## F(df1 = 31, df2 = 249) = 2.3438, p-val = 0.0002
## 
## Model Results:
## 
##                                                      estimate      se     tval 
## intrcpt                                               -0.5212  0.5528  -0.9429 
## behaviour_measured_standardisedcollective behaviour    1.7008  0.9384   1.8125 
## behaviour_measured_standardisedcourtship              -0.1397  0.1662  -0.8406 
## behaviour_measured_standardisedsociality               0.2057  0.0938   2.1937 
## behavioural_assay_standardised2entry                  -0.7415  0.2474  -2.9974 
## behavioural_assay_standardised2zone                   -0.1314  0.1036  -1.2674 
## pesticide_chemical_classcarbamate                     -1.4219  0.5286  -2.6900 
## pesticide_chemical_classneonicotinoid                 -0.9036  0.3839  -2.3536 
## pesticide_chemical_classorganochlorine                -0.7255  0.4355  -1.6660 
## pesticide_chemical_classorganophosphate               -0.8423  0.3542  -2.3780 
## pesticide_chemical_classphenoxy                       -0.8139  0.4923  -1.6530 
## pesticide_chemical_classpyrethroid                    -0.8233  0.3506  -2.3486 
## pesticide_chemical_classrotenones                     -0.3742  0.5849  -0.6397 
## pesticide_chemical_classtriazine                      -1.1221  0.4746  -2.3643 
## pesticide_chemical_classtriazole                      -1.1803  0.3715  -3.1776 
## pesticide_chemical_classurea                          -0.6448  0.4746  -1.3586 
## control_solventDMSO                                    1.3370  0.6118   2.1852 
## control_solventDTNB                                   -0.6131  0.5973  -1.0264 
## control_solventnone                                    1.3193  0.5919   2.2289 
## control_solventnot reported                            1.5943  0.6264   2.5454 
## species_latinDanio rerio                              -0.2083  0.5482  -0.3801 
## species_latinJenynsia multidentata                    -0.6283  0.6021  -1.0435 
## species_latinOryzias latipes                          -0.6320  0.6557  -0.9638 
## species_latinOryzias melastigma                       -0.5757  0.6028  -0.9550 
## species_latinPoecilia latipinna                       -1.1071  0.6729  -1.6453 
## species_latinPoecilia reticulata                      -0.6527  0.5966  -1.0940 
## sexmale                                                0.2694  0.1668   1.6146 
## sexmixed                                               0.1489  0.2146   0.6937 
## sexnot reported                                       -0.0899  0.4190  -0.2145 
## sourcelaboratory stock from not specified source       0.1181  0.1687   0.7000 
## sourcelabratory stock from wild population             1.2487  0.5115   2.4413 
## sourcenot reported                                     0.1269  0.4073   0.3116 
##                                                       df    pval    ci.lb 
## intrcpt                                              249  0.3466  -1.6099 
## behaviour_measured_standardisedcollective behaviour  249  0.0711  -0.1474 
## behaviour_measured_standardisedcourtship             249  0.4014  -0.4671 
## behaviour_measured_standardisedsociality             249  0.0292   0.0210 
## behavioural_assay_standardised2entry                 249  0.0030  -1.2288 
## behavioural_assay_standardised2zone                  249  0.2062  -0.3355 
## pesticide_chemical_classcarbamate                    249  0.0076  -2.4630 
## pesticide_chemical_classneonicotinoid                249  0.0194  -1.6597 
## pesticide_chemical_classorganochlorine               249  0.0970  -1.5832 
## pesticide_chemical_classorganophosphate              249  0.0182  -1.5399 
## pesticide_chemical_classphenoxy                      249  0.0996  -1.7835 
## pesticide_chemical_classpyrethroid                   249  0.0196  -1.5138 
## pesticide_chemical_classrotenones                    249  0.5230  -1.5262 
## pesticide_chemical_classtriazine                     249  0.0188  -2.0569 
## pesticide_chemical_classtriazole                     249  0.0017  -1.9119 
## pesticide_chemical_classurea                         249  0.1755  -1.5796 
## control_solventDMSO                                  249  0.0298   0.1320 
## control_solventDTNB                                  249  0.3057  -1.7895 
## control_solventnone                                  249  0.0267   0.1535 
## control_solventnot reported                          249  0.0115   0.3607 
## species_latinDanio rerio                             249  0.7042  -1.2880 
## species_latinJenynsia multidentata                   249  0.2977  -1.8140 
## species_latinOryzias latipes                         249  0.3361  -1.9234 
## species_latinOryzias melastigma                      249  0.3405  -1.7628 
## species_latinPoecilia latipinna                      249  0.1012  -2.4324 
## species_latinPoecilia reticulata                     249  0.2750  -1.8277 
## sexmale                                              249  0.1077  -0.0592 
## sexmixed                                             249  0.4885  -0.2738 
## sexnot reported                                      249  0.8304  -0.9151 
## sourcelaboratory stock from not specified source     249  0.4846  -0.2141 
## sourcelabratory stock from wild population           249  0.0153   0.2413 
## sourcenot reported                                   249  0.7556  -0.6752 
##                                                        ci.ub     
## intrcpt                                               0.5675     
## behaviour_measured_standardisedcollective behaviour   3.5489   . 
## behaviour_measured_standardisedcourtship              0.1876     
## behaviour_measured_standardisedsociality              0.3905   * 
## behavioural_assay_standardised2entry                 -0.2543  ** 
## behavioural_assay_standardised2zone                   0.0728     
## pesticide_chemical_classcarbamate                    -0.3808  ** 
## pesticide_chemical_classneonicotinoid                -0.1474   * 
## pesticide_chemical_classorganochlorine                0.1322   . 
## pesticide_chemical_classorganophosphate              -0.1447   * 
## pesticide_chemical_classphenoxy                       0.1558   . 
## pesticide_chemical_classpyrethroid                   -0.1329   * 
## pesticide_chemical_classrotenones                     0.7779     
## pesticide_chemical_classtriazine                     -0.1873   * 
## pesticide_chemical_classtriazole                     -0.4487  ** 
## pesticide_chemical_classurea                          0.2900     
## control_solventDMSO                                   2.5420   * 
## control_solventDTNB                                   0.5634     
## control_solventnone                                   2.4851   * 
## control_solventnot reported                           2.8280   * 
## species_latinDanio rerio                              0.8713     
## species_latinJenynsia multidentata                    0.5575     
## species_latinOryzias latipes                          0.6595     
## species_latinOryzias melastigma                       0.6115     
## species_latinPoecilia latipinna                       0.2182     
## species_latinPoecilia reticulata                      0.5224     
## sexmale                                               0.5980     
## sexmixed                                              0.5716     
## sexnot reported                                       0.7354     
## sourcelaboratory stock from not specified source      0.4503     
## sourcelabratory stock from wild population            2.2561   * 
## sourcenot reported                                    0.9290     
## 
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
# Select "best" models based on delta <= 2
best_model_vr <- subset(mlmr.dredge.lnVR, delta <= 2, recalc.weights = FALSE)

# Display the results in a scrollable kable table
best_model_vr %>%
  kable("html") %>%
  kable_styling("bordered", position = "left") %>%
  scroll_box(width = "100%", height = "800px")
(Intercept) behaviour_measured_standardised behavioural_assay_standardised2 control_solvent pesticide_chemical_class sex source species_latin df logLik AICc delta weight
75
NA
NA
NA NA
24 -186.3893 425.4661 0.0000000 0.2151998
3
NA
NA NA NA NA NA 7 -205.8819 426.1741 0.7080489 0.1510397
67
NA
NA NA NA NA
14 -198.7007 426.9804 1.5142974 0.1009291
# Relative importance values for the predictors
weights_lnVR <- sw(mlmr.dredge.lnVR)

# Convert the named vector into a data frame
weights_lnVR_df <- data.frame(
  predictor = names(weights_lnVR),  
  weight = as.numeric(weights_lnVR),
  R2_marginal = c(0.02, 0.086, 0.036, 0.068, 0.71, 0.011, 0.040)

)

Main text Figure 6

# lnRR model selection plot
weights_lnRR_plot <- weights_lnRR_df %>%
    ggplot(aes(x = reorder(predictor, weight), y = weight)) + geom_col(width = 0.8,
    alpha = 0.7) + coord_flip() + scale_y_continuous(limits = c(0, 1.2), breaks = seq(0,
    1, by = 0.2), expand = c(0, 0)) + geom_text(aes(label = scales::percent(weight,
    accuracy = 1)), size = 6, position = position_stack(vjust = 0.5), color = "white",
    fontface = "bold") + geom_text(aes(y = 1.1, label = paste0("R2 = ", round(R2_marginal,
    2))), size = 4, fontface = "italic", color = "red") + theme_bw() + guides(size = "none") +
    theme(legend.position = "none", axis.text = element_text(color = "black"), axis.title = element_text(face = "bold",
        color = "black"), plot.caption = element_text(size = 10, color = "gray10",
        face = "italic")) + labs(y = "Akaike Weights", x = "Moderators", tag = "A") +
    scale_x_discrete(labels = c("Source of fish", "Behaviour measured", "Control Solvent",
        "Species", "Sex of fish", "Pesticide chemical class", "Behavioural assay"))


# lnVR model selection plot
weights_lnVR_plot <- weights_lnVR_df %>%
    ggplot(aes(x = reorder(predictor, weight), y = weight)) + geom_col(width = 0.8,
    alpha = 0.7) + coord_flip() + scale_y_continuous(limits = c(0, 1.2), breaks = seq(0,
    1, by = 0.2), expand = c(0, 0)) + geom_text(aes(label = scales::percent(weight,
    accuracy = 1)), size = 6, position = position_stack(vjust = 0.5), color = "white",
    fontface = "bold") + geom_text(aes(y = 1.1, label = paste0("R2 = ", round(R2_marginal,
    2))), size = 4, fontface = "italic", color = "red") + theme_bw() + guides(size = "none") +
    theme(legend.position = "none", axis.text = element_text(color = "black"), axis.title = element_text(face = "bold",
        color = "black"), plot.caption = element_text(size = 10, color = "gray10",
        face = "italic")) + labs(caption = "The value in each bar is the relative importance of each moderator based on Akaike weights",
    y = "Akaike Weights", x = "Moderators", tag = "B") + scale_x_discrete(labels = c("Source of fish",
    "Behaviour measured", "Control Solvent", "Species", "Sex of fish", "Pesticide chemical class",
    "Behavioural assay"))


main_text_figure_6 <- weights_lnRR_plot/weights_lnVR_plot

print(main_text_figure_6)

# ggsave(here('figures', 'main_text_figure_6.pdf'), width = 10, height = 10,
# units = 'cm', scale = 2, dpi = 800) ggsave(here('figures',
# 'main_text_figure_6.jpg'), width = 10, height = 10, units = 'cm', scale = 2,
# dpi = 800)

Publication bias

Figure s20

A funnel plot illustrating the distribution of study effect sizes in the meta-analysis. The symmetry of the plot suggests the absence of publication bias.

# Set up a PNG device with desired dimensions and resolution png(filename =
# 'funnel_plot.png', width = 800, height = 600, res = 150)

# Create the funnel plot with gray points
funnel_fig <- funnel(lnRR_intercept_only, yaxis = "seinv", level = c(90, 95), shade = c("white",
    "gray30"), back = "#EBEBEB", legend = FALSE, ylab = "Precision (1/SE)", cex.lab = 1.5,
    digits = 1, xlim = c(-5, 5), pch = 21, col = "gray", bg = "black")

# fig_funnel <- recordPlot() invisible(dev.off())

print(funnel_fig)
##                 x          y slab
## 1   -0.2895670872  9.6318195    1
## 2   -0.2982524951  8.4820306    2
## 3    0.0562281004  2.9750627    3
## 4   -0.7011101941  3.2240522    4
## 5   -1.1269340923  3.2240092    5
## 6   -0.2934188492 12.7655293    6
## 7   -0.2691540083 11.4942347    7
## 8   -0.2674431286 10.4464598    8
## 9   -0.3530576766 16.1669964    9
## 10  -0.3474865777 10.3119167   10
## 11  -0.2555482359 17.4371314   11
## 12  -0.3525005143  8.3317595   12
## 13  -0.4641497549  7.2844548   13
## 14  -0.5849408752  9.2268317   14
## 15  -0.4637459053  8.3552581   15
## 16  -0.5215752377  9.1834900   16
## 17  -0.4687954081  9.5734233   17
## 18  -0.3563336906 13.9182098   18
## 19   0.0463883218  8.0730795   19
## 20  -0.9717259010  6.7392324   20
## 21  -0.0187754690 10.9226609   21
## 22  -0.0256912682 14.8101635   22
## 23   0.1103552116 13.1878378   23
## 24  -0.1776638218 13.1976626   24
## 25  -0.0592543268 30.6181415   25
## 26  -0.3005645925 49.7575758   26
## 27  -0.8383824621  5.0757474   27
## 28  -0.9482091248  5.2398136   28
## 29  -1.1931477158  5.8813239   29
## 30   0.2092602591  6.6982342   30
## 31   0.2984424139  6.6032715   31
## 32   0.2933587925  6.4321509   32
## 33   0.3223981661  9.0445807   33
## 34   0.4164707219 10.4539360   34
## 35   0.1714618190  9.3024101   35
## 36   0.3343691865  9.9150970   36
## 37  -0.0779276601 10.0358393   37
## 38  -0.1701155192 10.8981059   38
## 39  -0.3686652462 11.5103947   39
## 40  -0.0413346208 17.9034716   40
## 41  -0.1675382098 15.2446040   41
## 42  -0.3008911583 22.0469146   42
## 43  -0.0197408876 18.8753805   43
## 44  -0.1445877199 20.5457638   44
## 45  -0.1946178989 20.9415940   45
## 46  -0.1550986605 10.9822328   46
## 47  -0.2512861653 15.5480599   47
## 48  -0.5049285681 15.2704063   48
## 49  -0.1341783716 14.2614925   49
## 50  -0.2023761200 14.9070156   50
## 51  -0.3688435512 13.1714676   51
## 52  -0.0682145526 27.0736230   52
## 53  -0.2278727286 24.2112039   53
## 54  -0.2656199631 21.1405121   54
## 55   0.0381976460 70.3251262   55
## 56   0.0544352835 51.1460497   56
## 57   0.1098502469 63.1920917   57
## 58   0.1209702027 12.3699265   58
## 59   0.3008151525 10.6658531   59
## 60   0.3999407438 11.3110622   60
## 61   0.0213611592 17.2293931   61
## 62   0.1124097972 21.0329566   62
## 63   0.2361047215 21.2437332   63
## 64   0.0068716710 31.8676678   64
## 65   0.1234872678 15.0722922   65
## 66   0.2326668138 24.0167523   66
## 67  -0.1346721442  4.2295531   67
## 68   0.0359729376  5.0850701   68
## 69  -0.2172118306  3.9579177   69
## 70   0.1327446542  4.0011075   70
## 71   0.3033897360  4.7016103   71
## 72   0.0502049678  3.7688484   72
## 73  -0.0185967954  7.6563057   73
## 74  -0.0888729564  7.9605030   74
## 75   0.0551433960 10.7417176   75
## 76  -0.0185967954  7.6563057   76
## 77  -0.0888729564  7.9605030   77
## 78   0.0551433960 10.7417176   78
## 79  -0.2978489520 11.1766779   79
## 80  -0.1452538322 14.0767541   80
## 81   0.7328936043  1.5583392   81
## 82   1.1267006400  1.6263523   82
## 83   1.4584231030  1.6210783   83
## 84  -0.0953513343 12.3254058   84
## 85   0.0375621321 10.7612753   85
## 86   0.2060139223 12.3488694   86
## 87   0.4351920164  3.4979563   87
## 88   0.4860246075  3.4393957   88
## 89  -0.5759321314  1.3811012   89
## 90   0.3610518717  3.1584688   90
## 91  -1.6955087915  0.5527361   91
## 92  -0.8497645275  1.5584285   92
## 93  -0.3451585019  3.8847662   93
## 94  -0.2758603335  3.9605941   94
## 95  -0.6286086594  2.6707731   95
## 96  -0.4567584025  2.8132764   96
## 97  -0.8604759528  3.8426888   97
## 98  -0.9345839249  3.8938391   98
## 99  -0.2682639866  5.2943519   99
## 100 -0.4353180713  4.5428452  100
## 101 -0.1536680787  3.6536282  101
## 102 -0.2917949178  1.7202998  102
## 103 -0.0722948812  0.4818747  103
## 104 -0.3868849144  0.5040212  104
## 105 -0.3839536901  1.2076215  105
## 106 -0.4871494858  1.3808203  106
## 107 -0.4289718130  2.6641231  107
## 108 -0.4032100222  3.7188700  108
## 109 -1.5581338913  0.4119226  109
## 110 -0.2452726932  1.3918470  110
## 111 -0.0203218410  4.6107501  111
## 112  0.0348171424  3.7701820  112
## 113 -0.0890473331  4.8379991  113
## 114 -0.1268371886  4.7157394  114
## 115 -0.0654956783  3.4154151  115
## 116  0.0005743625  2.8632558  116
## 117  0.2657464918  3.6849466  117
## 118  0.0845569485  3.0331357  118
## 119 -0.3128963754  3.7649996  119
## 120  0.1277206418  3.2595961  120
## 121  0.0347385903  3.5834066  121
## 122  0.5330905973  6.0687039  122
## 123 -0.1289210486  7.5482338  123
## 124 -0.7367429870  2.2884179  124
## 125  0.0013467997  6.0380300  125
## 126 -0.4242685962  4.7591048  126
## 127  0.1846703334  3.4354473  127
## 128 -0.3012544747  2.9061033  128
## 129 -0.1496461348  4.5903861  129
## 130 -0.0052014822  5.3505172  130
## 131 -0.2877020856  2.4183951  131
## 132 -0.3248150782  3.5728607  132
## 133  0.2595857437  6.3015213  133
## 134 -0.2918579551  2.3618178  134
## 135 -0.1102722212  4.3510824  135
## 136  0.2211687747  4.2186050  136
## 137  0.2181546997  2.7589687  137
## 138  0.5294237591  4.0436741  138
## 139  0.3619245988  5.5651987  139
## 140  0.8096190319  5.3045574  140
## 141  0.9346890570  1.4355392  141
## 142  0.9158639843  3.3527816  142
## 143 -0.9371002551  1.3633173  143
## 144  0.2078392597  1.3913842  144
## 145 -0.2636191195  1.6300697  145
## 146 -0.5647701186  2.1919615  146
## 147 -1.5917801091  1.7899207  147
## 148 -1.3591825623  1.7969856  148
## 149  0.4684743389  1.9851427  149
## 150  0.6223603642  2.3790134  150
## 151 -1.5443450035  2.0374751  151
## 152 -0.0689866691  4.1366614  152
## 153  0.6850969702  6.2300470  153
## 154 -0.2263701346  3.6615618  154
## 155 -0.6723153121  2.8675650  155
## 156  0.6538837143  1.6689090  156
## 157  0.3247425949  5.7912790  157
## 158  0.5271118126  2.4885123  158
## 159  0.0972581127  9.3911241  159
## 160  0.2217489943  2.7991710  160
## 161  0.0263155037  6.7727596  161
## 162 -0.1515966733  5.2812293  162
## 163  0.3138700061  7.0336516  163
## 164 -1.0679787152  7.7191203  164
## 165 -1.1905438061  5.2631079  165
## 166  0.0000000000  4.0219001  166
## 167  0.0000000000  5.9992438  167
## 168  0.0000000000  6.1754638  168
## 169  0.0000000000  4.0219001  169
## 170 -0.1470923751  7.0073158  170
## 171  0.0317324225  6.3324698  171
## 172 -0.0671442607  6.5412561  172
## 173 -0.9168396693  5.2523239  173
## 174 -0.1470923751  7.0073158  174
## 175  0.0317324225  6.3324698  175
## 176 -0.0671442607  6.5412561  176
## 177 -0.9168396693  5.2523239  177
## 178  0.0548605361 38.9921069  178
## 179  0.0574559830 40.0212054  179
## 180  0.0446425451 37.8553296  180
## 181 -0.1086065795 22.2022834  181
## 182  0.0612196773 28.2132158  182
## 183 -0.0420611158 27.2454835  183
## 184 -0.3554959862 16.9705629  184
## 185 -0.3016027947 16.9705629  185
## 186 -0.0565067546 16.9705628  186
## 187  0.1425333067  4.0018102  187
## 188  0.1340586797  4.0436206  188
## 189 -1.1247127603  3.5752439  189
## 190 -1.0578053953  3.4037819  190
## 191  0.1671087777 36.4565828  191
## 192  0.0198446899 39.4482114  192
## 193 -0.0190083624 84.8653722  193
## 194 -0.0908159787 82.3159383  194
## 195  0.3992965036 21.3015227  195
## 196 -0.2541178124 18.6101154  196
## 197  0.2828452918  2.1372585  197
## 198 -0.6003899724  3.2685557  198
## 199 -0.2342686854  6.2532156  199
## 200  0.0212920080 21.2583679  200
## 201  0.0484277621 19.3735950  201
## 202  0.1165399791 27.5271210  202
## 203  0.0218575489  9.7088008  203
## 204 -0.0509995418  9.7088008  204
## 205 -0.5533531441  9.7088008  205
## 206 -0.2988402486  9.7088008  206
## 207 -0.3826626903  9.7088008  207
## 208 -0.3625965261  9.7088008  208
## 209 -0.3733001999  9.7088008  209
## 210 -0.3028537135  9.7088008  210
## 211 -0.2685156010  9.7088008  211
## 212 -0.1871038473  9.7088008  212
## 213 -0.3762618981  9.7088008  213
## 214 -0.3364577121  9.7088008  214
## 215  0.2568358983  4.6833683  215
## 216  0.2922331767  5.1605187  216
## 217 -0.1755098389  5.3577952  217
## 218  0.0109793627  6.5939420  218
## 219  0.0590975947  3.7930367  219
## 220  0.0001512402  6.4494838  220
## 221 -0.2254676941  5.1173726  221
## 222 -0.2254676941  5.1173726  222
## 223  0.0023050337  4.6803592  223
## 224  0.2189389200  5.5594528  224
## 225 -0.5193152642  4.8626936  225
## 226 -0.3026813779  5.8726752  226
## 227 -1.1550254052  9.7088008  227
## 228 -0.7106091557  9.7088008  228
## 229 -0.2628204450  4.6791657  229
## 230 -0.1563636002  5.7131159  230
## 231 -0.4641459748  7.2629763  231
## 232 -0.7113208401  9.3100936  232
## 233  0.4057645541  2.1753536  233
## 234  0.3755519544  3.5579714  234
## 235 -0.0558235342 21.1989201  235
## 236 -0.0671961997 22.7538039  236
## 237 -0.1728887472 19.5015212  237
## 238  0.0598117379 18.6522166  238
## 239 -0.0021650320 17.8568574  239
## 240  0.0308773532 18.1092726  240
## 241  0.2382664522  2.2542454  241
## 242 -0.7890781820  2.3992102  242
## 243 -0.3106224040  2.3430055  243
## 244 -0.0757092535  3.9144944  244
## 245 -0.7160357072  3.1511883  245
## 246 -0.1735373936  4.0256632  246
## 247 -0.1864795669  3.1632584  247
## 248 -0.9725204944  2.2269724  248
## 249 -0.6192495676  2.9469346  249
## 250 -0.0064789661  2.6210669  250
## 251 -1.1304090628  2.2545458  251
## 252 -0.6043159669  2.6490344  252
## 253 -0.0473123432 17.4020186  253
## 254  0.2288645978  9.0768517  254
## 255  0.1046166415 20.3641732  255
## 256 -0.1812047073  9.2788367  256
## 257  0.0137532588 16.1332623  257
## 258 -0.2521906962  9.2450365  258
## 259  0.1516960715  9.8744703  259
## 260 -0.6787775097  3.9888630  260
## 261  0.0594520672 13.9752560  261
## 262 -0.2937646704  7.4517793  262
## 263 -0.3441269636  4.4026869  263
## 264 -0.4088411973  4.2923475  264
## 265  0.1554096795  5.0732811  265
## 266 -0.1805471261  4.3068265  266
## 267 -0.3974464737 40.7986463  267
## 268 -1.0234295444 28.9456875  268
## 269  0.7426073416  3.3677620  269
## 270  0.0475992321  3.7903583  270
## 271  0.9043581477  3.4267721  271
## 272  0.1322279537  5.0656659  272
## 273  0.3213731391  3.0734040  273
## 274  1.0243204366  2.8150358  274
## 275  0.6893946243  3.9183104  275
## 276  0.7890789235  3.1560849  276
## 277  1.0196305885  3.5002895  277
## 278  0.4759681922  4.3564600  278
## 279  0.5810338373  3.9273387  279
## 280  1.1615672985  4.3163638  280
## 281  0.1634914752  4.6445533  281
## 282  0.8455285135  3.4385166  282
## 283  0.1627896232  5.6846457  283
## 284  0.7562751556  3.2531869  284
## 285  0.6206513493  4.2950341  285
## 286  1.3553971511  3.9178221  286
## 287  0.3105922457  5.0054268  287
## 288  1.2097798422  3.9701727  288
## 289  1.2863071456  2.7814062  289
## 290  0.9114373072  3.8077917  290
## 291  1.0546386676  3.2330798  291
## 292  1.3537557164  3.6104460  292
## 293  0.7347263974  4.3394398  293
## 294  0.9217723399  3.8074962  294
## 295  1.1582944607  4.1151060  295
## 296  0.5113264876  4.9363735  296
## 297  1.1297947168  3.4206542  297
## 298  0.3665374812  6.0976047  298
## 299  0.4187480776  3.6444524  299
## 300  0.3380056037  4.4468250  300
## 301  0.9980810658  3.0113101  301
## 302  0.0525894244  4.3705445  302
## 303  1.0574470046  3.6150436  303
## 304  0.6133656890  2.7442886  304
## 305  0.7586122892  3.9234673  305
## 306  0.9329041631  3.2174482  306
## 307  1.0176262138  3.7030066  307
## 308  0.3582539811  3.9909391  308
## 309  0.6607598381  4.1595224  309
## 310  0.5270812776  3.8776019  310
## 311  0.1851436001  4.7551019  311
## 312  0.8236330552  3.3311637  312
## 313  0.0485770859  5.3795272  313
## 314  0.5965421277  3.0975843  314
## 315 -0.0489350149  3.6292309  315
## 316  1.0321230990  3.8468270  316
## 317  0.0079818338  4.0914873  317
## 318  0.9644668904  3.6632525  318
## 319  1.1049669810  2.8043788  319
## 320  0.7954625205  3.9500335  320
## 321  0.8906953374  3.2544270  321
## 322  1.1831337292  3.7105615  322
## 323  0.5776016968  4.5702386  323
## 324  0.4238097344  3.5565596  324
## 325  0.9827757047  4.1687661  325
## 326  0.2288589187  4.6012175  326
## 327  0.6978393265  3.3658117  327
## 328  0.0786194967  6.0463538  328
## 329 -0.3877963682 14.9228296  329
## 330 -0.3926585215 15.3722205  330
## 331 -0.3430354783 14.7848713  331
## 332 -0.4037251536 16.0167753  332
## 333 -0.3989969364  4.1729885  333
## 334 -1.0946658998  4.6075201  334
## 335 -1.2908955274  2.9571011  335
## 336 -0.8176491984  3.0180351  336
## 337 -0.5307193669  2.9251411  337
## 338 -0.8925427668  3.4470504  338
## 339 -0.8926570407  6.4024393  339
## 340 -0.3942786593  5.2155188  340
## 341 -0.6762103312  5.9003424  341
## 342 -0.1778319497  4.9331719  342
## 343 -0.7731838755  6.2786427  343
## 344 -0.2748054940  5.1479416  344
## 345 -0.1562387492  5.5293276  345
## 346  0.1831562323  4.8032555  346
## 347 -0.7317482149  7.6104661  347
## 348 -0.3923532334  5.9867045  348
## 349 -0.4132441453  7.0626872  349
## 350 -0.0738491638  5.7088494  350
## 351 -0.6070412556  7.2362906  351
## 352 -0.4799707308  9.1804906  352
## 353 -0.1198699991  8.8686465  353
## 354  0.0072005257 13.5061427  354
## 355 -0.4682384287  8.6084759  355
## 356 -0.3411679039 12.6368863  356
## 357 -0.8202743791  8.1807978  357
## 358 -0.1788502133  2.0430203  358
## 359 -0.5556049091  4.3955481  359
## 360  0.0858192568  1.9020971  360
## 361 -0.4456119468  2.6932956  361
## 362  0.1958122191  1.6609136  362
## 363 -0.1300491610  5.7595261  363
## 364  0.0774848751  4.9262846  364
## 365 -0.3247204581  5.8799496  365
## 366 -0.1171864220  5.0010064  366
## 367 -0.2106984833  4.5990899  367
## 368 -0.0031644472  4.1402292  368
## 369 -0.3842633175  7.9359810  369
## 370 -0.1350339252 14.5409388  370
## 371 -0.6390206022  6.6312645  371
## 372 -0.3897912100  9.2878611  372
## 373 -0.4059146319  7.3085460  373
## 374 -0.1566852397 11.4913854  374
## 375 -0.0187879139 20.6935005  375
## 376  0.0543343510 23.7013264  376
## 377  0.1328966735 23.0239548  377
## 378  0.1069465588 29.8462757  378
## 379  0.0722810427 29.4701251  379
## 380  0.2652209558 19.5724500  380
## 381  0.0328995381 85.6773326  381
## 382  0.0055005639 90.5242197  382
## 383  0.0402964424 58.7757500  383
## 384  0.1041789602 17.3678078  384
## 385  0.3354654854 18.4221659  385
## 386  0.0253644197 15.5141138  386
## 387 -0.1088788305 13.0757029  387
## 388  0.2449725218 11.8225909  388
## 389  0.3119540752 13.3716425  389
## 390 -0.0218827112 14.5071375  390
## 391  0.3298569975 11.1451245  391
## 392  0.5078801135 10.3599634  392
## 393  0.0755075525  9.5912057  393
## 394  0.0000000000  9.2855261  394
## 395  0.3166696093  8.7455705  395
## 396 -0.1835830972  5.6212304  396
## 397 -0.2370894373  4.8900838  397
## 398  0.3974740156  4.8873053  398
## 399  0.1875558044  9.9958325  399
## 400  0.1797897816  9.9071319  400
## 401  0.1946584585 10.2819554  401
## 402  0.1693645346  9.3428394  402
## 403  0.0908499523  8.7355428  403
## 404  0.0588439049 10.0446128  404
## 405  0.0711422653  9.7974825  405
## 406  0.0630341188 11.1734173  406
## 407  0.1272212040 11.0664176  407
## 408  0.0837522817 10.4457355  408
## 409 -0.0708213009  3.9903214  409
## 410 -0.2501345617  4.5059754  410
## 411 -0.2238397386  4.0544599  411
## 412 -0.2209603187  4.9260437  412
## 413 -0.6096142888  3.9793985  413
## 414  0.1815455816  3.4513424  414
## 415  0.1672130945  3.3742964  415
## 416  0.2003415141  3.6824689  416
## 417  0.5776636309  3.8984365  417
## 418  0.4495595239  3.6005585  418
## 419  0.3105002634  1.9853785  419
## 420  0.3811791838  1.8163007  420
## 421  0.7132218988  2.1303099  421
## 422  0.6114097576  2.0401256  422
## 423  0.3068446174  2.0560109  423
## 424 -0.3835402736  1.3026653  424
## 425  0.4965171871  1.9975878  425
## 426  0.4441697643  2.2065254  426
## 427  0.4445357070  2.2065575  427
## 428 -2.1463024039  1.1580411  428
## 429 -0.1480304478  5.8324960  429
## 430 -0.3015310443  5.0559633  430
## 431 -0.4503293208  6.3759957  431
## 432 -0.1523518854  5.3911706  432
## 433  0.1157837854  6.5514304  433
## 434 -0.1188724010  6.5476186  434
## 435 -0.1894258589  7.9995363  435
## 436  0.0401027248  8.8004738  436
## 437  0.1831514508  2.4901645  437
## 438 -0.0693487517  3.6472862  438
## 439 -0.2899487095  2.7902387  439
## 440 -0.5324872814  2.6761346  440
## 441 -0.0425526369  7.8491277  441
## 442 -0.1490316687  8.0314121  442
## 443 -0.2974787602  7.2500982  443
## 444 -0.0148126906  6.7148263  444
## 445  0.3116178662 12.1956061  445
## 446  0.3487365649 11.2871863  446
## 447  0.1529422944 11.8141290  447
## 448  0.0620705145 11.4598327  448

Egger’s regression

# Model
eggers_regression <- rma.mv(yi = lnRR, V = lnRRVCV, random = list(~1 | study_id,
    ~1 | assay_id, ~1 | species_latin, ~1 | pesticide), mods = ~sqrt(lnRRv), method = "REML",
    test = "t", data = data, sparse = T)


# Summary
summary(eggers_regression)
## 
## Multivariate Meta-Analysis Model (k = 448; method: REML)
## 
##    logLik   Deviance        AIC        BIC       AICc   
## -168.4319   336.8637   348.8637   373.4657   349.0551   
## 
## Variance Components:
## 
##             estim    sqrt  nlvls  fixed         factor 
## sigma^2.1  0.0535  0.2313     37     no       study_id 
## sigma^2.2  0.0582  0.2412    448     no       assay_id 
## sigma^2.3  0.0613  0.2476     10     no  species_latin 
## sigma^2.4  0.0091  0.0956     30     no      pesticide 
## 
## Test for Residual Heterogeneity:
## QE(df = 446) = 4961.4465, p-val < .0001
## 
## Test of Moderators (coefficient 2):
## F(df1 = 1, df2 = 446) = 0.1718, p-val = 0.6787
## 
## Model Results:
## 
##              estimate      se     tval   df    pval    ci.lb    ci.ub    
## intrcpt       -0.2531  0.1183  -2.1407  446  0.0328  -0.4856  -0.0207  * 
## sqrt(lnRRv)   -0.0809  0.1950  -0.4145  446  0.6787  -0.4642   0.3025    
## 
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

Figure s21

A plot showing the moderating effect of standard error on lnRR. The thick black lines show the prediction from the uni-moderator models with their associated 95% confidence interval (darker shaded area) and 95% prediction interval (lighter shaded area).

# Prepare data for Egger's regression plot
egger_pred <- predict.rma(eggers_regression)
data <- data %>%
    mutate(fit = egger_pred$pred, ci.lb = egger_pred$ci.lb, ci.ub = egger_pred$ci.ub,
        pr.lb = egger_pred$cr.lb, pr.ub = egger_pred$cr.ub)

# Create Egger's regression plot
egger_fig <- ggplot(data, aes(x = sqrt(lnRRv), y = lnRR)) + geom_ribbon(aes(ymin = pr.lb,
    ymax = pr.ub), alpha = 0.1, fill = "gray") + geom_ribbon(aes(ymin = ci.lb, ymax = ci.ub),
    alpha = 0.3, fill = "gray") + geom_point(size = 2, shape = 21, alpha = 0.7, fill = RColorBrewer::brewer.pal(n = 8,
    name = "Dark2")[1], col = "gray25", stroke = 1) + geom_line(aes(y = fit), size = 1.2) +
    labs(x = "Standard Error", y = "lnRR") + theme_bw() + geom_hline(yintercept = 0,
    linetype = 2, colour = "black", alpha = 0.5) + theme(text = element_text(size = 18,
    colour = "black", hjust = 0.5), legend.text = element_text(size = 14), legend.position = c(0,
    0), legend.justification = c(0, 0), legend.background = element_blank(), legend.direction = "horizontal",
    legend.title = element_text(size = 15), panel.border = element_rect(colour = "black",
        fill = NA, size = 1.2))

print(egger_fig)

# ggsave(here('figures', 'egger_figure.pdf'), width = 10, height = 5, units =
# 'cm', scale = 2, dpi = 800) ggsave(here('figures', 'egger_figure.jpg'), width
# = 10, height = 5, units = 'cm', scale = 2, dpi = 800)

Time lag bias

data$pub_year <- str_extract(data$study_id, "\\d{4}")


data$pub_year <- as.numeric(data$pub_year)

# Model
time_lag_bias_model <- rma.mv(yi = lnRR, V = lnRRVCV, random = list(~1 | study_id,
    ~1 | assay_id, ~1 | species_latin, ~1 | pesticide), mods = ~scale(pub_year),
    method = "REML", test = "t", data = data, sparse = T)

# Summary stats
summary(time_lag_bias_model)
## 
## Multivariate Meta-Analysis Model (k = 448; method: REML)
## 
##    logLik   Deviance        AIC        BIC       AICc   
## -167.6978   335.3957   347.3957   371.9976   347.5870   
## 
## Variance Components:
## 
##             estim    sqrt  nlvls  fixed         factor 
## sigma^2.1  0.0521  0.2283     37     no       study_id 
## sigma^2.2  0.0582  0.2412    448     no       assay_id 
## sigma^2.3  0.0531  0.2305     10     no  species_latin 
## sigma^2.4  0.0084  0.0916     30     no      pesticide 
## 
## Test for Residual Heterogeneity:
## QE(df = 446) = 4308.0407, p-val < .0001
## 
## Test of Moderators (coefficient 2):
## F(df1 = 1, df2 = 446) = 1.6718, p-val = 0.1967
## 
## Model Results:
## 
##                  estimate      se     tval   df    pval    ci.lb    ci.ub    
## intrcpt           -0.2215  0.1123  -1.9715  446  0.0493  -0.4422  -0.0007  * 
## scale(pub_year)    0.0582  0.0450   1.2930  446  0.1967  -0.0303   0.1467    
## 
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
lnRR_mod_time_lag_results <- mod_results(time_lag_bias_model, mod = "pub_year", data = data,
    group = "study_id")


r2_lnRR_time_lag <- r2_ml(time_lag_bias_model, data)


# Calculate R^2 value
r2_lnRR_time_lag <- r2_ml(time_lag_bias_model, data)

# Set minimum year for x-axis limit
min_year <- min(data$pub_year, na.rm = TRUE)

Figure s22

A bubble plot showing the moderating effect of publication year on lnRR. The thick black lines show the prediction from the uni-moderator models with their associated 95% confidence interval (red dotted line) and 95% prediction interval (black dotted line).

# Create bubble plot and save as ggplot object
time_lag_bias <- bubble_plot(lnRR_mod_time_lag_results, mod = "pub_year", group = "study_id",
    data = data, x = "pub_year", y = "lnRR", est.lwd = 1, legend.pos = "bottom.right",
    k.pos = "bottom.left", ci.col = "red", pi.col = "black", est.col = "black", g = TRUE) +
    annotate(geom = "text", x = min_year + 2, y = max(data$lnRR, na.rm = TRUE) +
        0.2, label = paste0("italic(R)^{2} ==", round(r2_lnRR_time_lag[1], 5)), color = "black",
        parse = TRUE, size = 4) + geom_point(size = 2, color = "gray25", fill = "blue",
    shape = 21, alpha = 0.7, stroke = 1) + geom_line(color = "blue", size = 1.2) +
    ggtitle("") + theme(plot.title = element_text(size = 18), legend.position = "none",
    axis.title.x = element_text(size = 16), axis.title.y = element_text(size = 16),
    axis.text.y = element_text(size = 14), axis.text.x = element_text(size = 14)) +
    xlab("Publication Year") + scale_x_continuous(limits = c(min_year, max(data$pub_year,
    na.rm = TRUE)))

print(time_lag_bias)

# ggsave(here('figures', 'time_lag_figure.pdf'), width = 10, height = 5, units
# = 'cm', scale = 2, dpi = 800) ggsave(here('figures', 'time_lag_figure.jpg'),
# width = 10, height = 5, units = 'cm', scale = 2, dpi = 800)

Sensitivity Analysis

Leave-one-out analysis

Leave one study out

Intercept only model (lnRR)

data$leave_study <- as.factor(data$study_id)

### create a list to contain model estimates
leave_study_out_model_lnRR <- list()
VCV_leave_study_out_lnRR <- list()

# Save as .Rds file
# saveRDS(leave_study_out_model_lnRR, file = here("R.data", "leave_study_out_model_lnRR.Rds"))

# Load from .Rds file
leave_study_out_model_lnRR <- readRDS(here("R.data", "leave_study_out_model_lnRR.Rds"))

# Save as .Rdata file
# save(leave_study_out_model_lnVR, file = here("R.data", "leave_study_out_model_lnVR.Rdata"))

# Load from .Rdata file
load(here("R.data", "leave_study_out_model_lnVR.Rdata"))


### repeatedly run the multilevel model, leaving out one study at a time
for(i in 1:length(levels(data$leave_study))){
  ### create the data with one study removed at a time
  data_study_leave <- data %>% filter(leave_study != levels(data$leave_study)[i])
  
  ### create a list of VCV matrices for following model fitting
  VCV_leave_study_out_lnRR[[i]] <- impute_covariance_matrix(vi = data_study_leave$lnRRv, cluster = data_study_leave$study_id, r = 0.5)
  
  ### model fitting
  leave_study_out_model_lnRR[[i]] <- rma.mv(yi = lnRR, V = VCV_leave_study_out_lnRR[[i]], 
                                            random = list(~1 | study_id,
                                                          ~1 | assay_id,
                                                          ~1 | species_latin,
                                                          ~1 | pesticide),
                                            method = "REML", 
                                            test = "t",
                                            data = data_study_leave,
                                            sparse = TRUE)
}

results.leave_study_out_model_lnRR <- as.data.frame(cbind(
  sapply(leave_study_out_model_lnRR, function(x) summary(x)$beta), 
  sapply(leave_study_out_model_lnRR, function(x) summary(x)$se),   
  sapply(leave_study_out_model_lnRR, function(x) summary(x)$zval), 
  sapply(leave_study_out_model_lnRR, function(x) summary(x)$pval), 
  sapply(leave_study_out_model_lnRR, function(x) summary(x)$ci.lb),
  sapply(leave_study_out_model_lnRR, function(x) summary(x)$ci.ub) 
))

colnames(results.leave_study_out_model_lnRR) <- c("Estimate", "SE", "zval", "pval", "ci.lb", "ci.ub")
results.leave_study_out_model_lnRR$study_id <- unique(data$study_id)

# Display the results table
kable(results.leave_study_out_model_lnRR) %>%
  kable_styling("striped", position = "left") %>%
  scroll_box(width = "100%", height = "500px")
Estimate SE zval pval ci.lb ci.ub study_id
-0.2707502 0.1234745 -2.192762 0.0288415 -0.5134157 -0.0280847 bellot_2024
-0.2222167 0.1243949 -1.786382 0.0747197 -0.4666926 0.0222591 boscolo_2018
-0.2809559 0.1226510 -2.290694 0.0224586 -0.5220181 -0.0398937 bridi_2017
-0.2708383 0.1246354 -2.173045 0.0303123 -0.5157962 -0.0258805 chen_2022
-0.2732013 0.1265705 -2.158491 0.0314286 -0.5219577 -0.0244449 chung_2023
-0.2800641 0.1204502 -2.325144 0.0205152 -0.5167889 -0.0433392 faria_2021
-0.2709573 0.1229306 -2.204150 0.0280595 -0.5125981 -0.0293165 guo_2023
-0.2720410 0.1228927 -2.213648 0.0273711 -0.5135782 -0.0305038 gusso_2020
-0.2603531 0.1219030 -2.135739 0.0332496 -0.4999347 -0.0207715 hawkey_2020
-0.2727462 0.1231186 -2.215313 0.0272523 -0.5147229 -0.0307696 hawkey_2021
-0.2549523 0.1269547 -2.008215 0.0452325 -0.5044668 -0.0054378 hued_2011
-0.2721784 0.1231900 -2.209419 0.0276731 -0.5143095 -0.0300473 hussian_2020
-0.2691936 0.1225617 -2.196393 0.0286020 -0.5100945 -0.0282927 ilie_2021
-0.2706325 0.1212735 -2.231588 0.0261474 -0.5089827 -0.0322822 ilie_2022
-0.2779020 0.1274424 -2.180609 0.0297366 -0.5283672 -0.0274367 jaensson_2007
-0.2939646 0.1258517 -2.335802 0.0199531 -0.5413144 -0.0466148 khalil_2013
-0.2714868 0.1284528 -2.113514 0.0351309 -0.5239586 -0.0190149 khalil_2017
-0.2706756 0.1235775 -2.190332 0.0290267 -0.5135541 -0.0277971 lei_2022
-0.2044138 0.0834950 -2.448217 0.0147434 -0.3685092 -0.0403184 leite_2023
-0.2722593 0.1233538 -2.207141 0.0278185 -0.5146937 -0.0298249 lin_2024
-0.2692625 0.1234724 -2.180750 0.0297261 -0.5119255 -0.0265995 liu_2023
-0.2748595 0.1231887 -2.231207 0.0261660 -0.5169649 -0.0327541 liu_2023a
-0.2677348 0.1377674 -1.943383 0.0526360 -0.5385325 0.0030628 maclaren_2023
-0.2651540 0.1224645 -2.165151 0.0309093 -0.5058375 -0.0244705 oliveira_2024
-0.2891602 0.1230881 -2.349213 0.0192485 -0.5310649 -0.0472554 olsen_2020
-0.2733496 0.1224296 -2.232709 0.0260637 -0.5139602 -0.0327391 paredes_2019
-0.3064524 0.1281710 -2.390964 0.0172344 -0.5583737 -0.0545310 sanchez_2021
-0.2675961 0.1230901 -2.173985 0.0302423 -0.5095183 -0.0256738 schmidel_2014
-0.3078426 0.1360552 -2.262630 0.0241420 -0.5752365 -0.0404488 shenoy_2012
-0.2381278 0.1218354 -1.954503 0.0512675 -0.4775721 0.0013165 silva_2005
-0.2754738 0.1240649 -2.220401 0.0269701 -0.5193994 -0.0315483 stungaru_2019
-0.2691895 0.1232759 -2.183634 0.0295131 -0.5114679 -0.0269112 tamagno_2023
-0.2395056 0.1216880 -1.968195 0.0496717 -0.4786660 -0.0003452 teather_2001
-0.2615337 0.1209303 -2.162681 0.0311418 -0.4992527 -0.0238146 yan_2023
-0.2728711 0.1212028 -2.251360 0.0248753 -0.5111058 -0.0346363 yang_2023
-0.2364084 0.1157051 -2.043198 0.0416609 -0.4638463 -0.0089705 zaluski_2022
-0.2827246 0.1361799 -2.076111 0.0384815 -0.5503911 -0.0150582 zhou_2021
leave_one_study_out_lnRR_forest_plot <- ggplot(results.leave_study_out_model_lnRR, 
                      aes(x = fct_reorder(as.factor(study_id), Estimate), 
                          y = Estimate, 
                          ymin = ci.lb, 
                          ymax = ci.ub)) +
  geom_pointrange() +
  geom_hline(yintercept = 0, linetype = "dashed", color = "red") +
  theme_bw() +
  theme(legend.position = "none",
        axis.text = element_text(color = "black"),
        axis.title = element_text(face = "bold", color = "black"),
        plot.caption = element_text(size = 10, color = "gray10", face = "italic"),
        axis.text.y = element_text(size = 8)) +
  labs(caption = "The value in each point is the point estimate excluding one study at a time",
       x = "Study ID",
       y = "lnRR") +
       ylim(-0.6, 0.2) +
  coord_flip()

print(leave_one_study_out_lnRR_forest_plot)

# ggsave(here("figures", "leave_one_study_out_lnRR_forest_plot.pdf"), width = 10, height = 10, units = "cm", scale = 2, dpi = 800)
# ggsave(here("figures", "leave_one_study_out_lnRR_forest_plot.jpg"), width = 10, height = 10, units = "cm", scale = 2, dpi = 800)


results.leave_study_out_model_lnRR %>% 
  summarise(estimate = mean(Estimate), # calculate the mean coefficients across the models generated
            se = mean(SE), 
            zval = mean(zval), 
            pval = mean(pval), 
            ci.lb = mean(ci.lb), 
            ci.ub = mean(ci.ub)) %>% 
  kable() %>% kable_styling("striped", position = "left")
estimate se zval pval ci.lb ci.ub
-0.2683521 0.1233455 -2.178559 0.0313033 -0.5107802 -0.025924

Intercept only model (lnVR)

data$leave_study <- as.factor(data$study_id)

### create a list to contain model estimates
leave_study_out_model_lnVR <- list()
VCV_leave_study_out_lnVR <- list()

# save to save time - running this model is time-consuming

# Save as .Rds file saveRDS(leave_study_out_model_lnVR, file = here('R.data',
# 'leave_study_out_model_lnVR.Rds'))

# Load from .Rds file
leave_study_out_model_lnVR <- readRDS(here("R.data", "leave_study_out_model_lnVR.Rds"))


# Save as .Rdata file save(leave_study_out_model_lnVR, file = here('R.data',
# 'leave_study_out_model_lnVR.Rdata'))

# Load from .Rdata file
load(here("R.data", "leave_study_out_model_lnVR.Rdata"))


### repeatedly run the multilevel model, leaving out one study at a time
for (i in 1:length(levels(data$leave_study))) {
    data_study_leave <- data %>%
        filter(leave_study != levels(data$leave_study)[i])

    VCV_leave_study_out_lnVR[[i]] <- impute_covariance_matrix(vi = data_study_leave$lnVRv,
        cluster = data_study_leave$study_id, r = 0.5)

    leave_study_out_model_lnVR[[i]] <- rma.mv(yi = lnVR, V = VCV_leave_study_out_lnVR[[i]],
        random = list(~1 | study_id, ~1 | assay_id, ~1 | species_latin, ~1 | pesticide),
        method = "REML", test = "t", data = data_study_leave, sparse = TRUE)
}

results.leave_study_out_model_lnVR <- as.data.frame(cbind(sapply(leave_study_out_model_lnVR,
    function(x) summary(x)$beta), sapply(leave_study_out_model_lnVR, function(x) summary(x)$se),
    sapply(leave_study_out_model_lnVR, function(x) summary(x)$zval), sapply(leave_study_out_model_lnVR,
        function(x) summary(x)$pval), sapply(leave_study_out_model_lnVR, function(x) summary(x)$ci.lb),
    sapply(leave_study_out_model_lnVR, function(x) summary(x)$ci.ub)))

colnames(results.leave_study_out_model_lnVR) <- c("Estimate", "SE", "zval", "pval",
    "ci.lb", "ci.ub")
results.leave_study_out_model_lnVR$study_id <- unique(data$study_id)

# Display the results table
kable(results.leave_study_out_model_lnVR) %>%
    kable_styling("striped", position = "left") %>%
    scroll_box(width = "100%", height = "500px")
Estimate SE zval pval ci.lb ci.ub study_id
-0.0671787 0.0788471 -0.8520129 0.3946652 -0.2221376 0.0877801 bellot_2024
-0.0411794 0.0445311 -0.9247341 0.3556065 -0.1286973 0.0463385 boscolo_2018
-0.0619267 0.0818085 -0.7569719 0.4494765 -0.2227158 0.0988623 bridi_2017
-0.0720351 0.0767686 -0.9383406 0.3485865 -0.2229158 0.0788456 chen_2022
-0.0726168 0.0764294 -0.9501163 0.3425736 -0.2228280 0.0775943 chung_2023
-0.0662749 0.0792111 -0.8366870 0.4032196 -0.2219511 0.0894013 faria_2021
-0.0708509 0.0832146 -0.8514232 0.3950230 -0.2344232 0.0927215 guo_2023
-0.0701593 0.0765486 -0.9165331 0.3598952 -0.2206104 0.0802918 gusso_2020
-0.0699782 0.0772368 -0.9060218 0.3654179 -0.2217752 0.0818188 hawkey_2020
-0.0704540 0.0767763 -0.9176535 0.3593053 -0.2213497 0.0804417 hawkey_2021
-0.0621315 0.0760990 -0.8164555 0.4146825 -0.2116952 0.0874322 hued_2011
-0.0661285 0.0799800 -0.8268127 0.4088028 -0.2233299 0.0910729 hussian_2020
-0.0722795 0.0767748 -0.9414482 0.3470088 -0.2231840 0.0786251 ilie_2021
-0.0698979 0.0785579 -0.8897631 0.3740816 -0.2242951 0.0844993 ilie_2022
-0.0518869 0.1010469 -0.5134927 0.6078622 -0.2504765 0.1467028 jaensson_2007
-0.0441695 0.0436557 -1.0117681 0.3122088 -0.1299708 0.0416318 khalil_2013
-0.0746409 0.0870785 -0.8571675 0.3918287 -0.2457923 0.0965105 khalil_2017
-0.0681779 0.0780268 -0.8737754 0.3827194 -0.2215314 0.0851756 lei_2022
-0.0807308 0.0880518 -0.9168563 0.3597168 -0.2537819 0.0923203 leite_2023
-0.0695566 0.0775106 -0.8973824 0.3700045 -0.2218926 0.0827794 lin_2024
-0.0691347 0.0777895 -0.8887409 0.3746236 -0.2220161 0.0837467 liu_2023
-0.0686691 0.0780861 -0.8794029 0.3796586 -0.2221334 0.0847951 liu_2023a
-0.1037526 0.0730224 -1.4208321 0.1561058 -0.2472866 0.0397814 maclaren_2023
-0.0648373 0.0801198 -0.8092544 0.4188033 -0.2222993 0.0926248 oliveira_2024
-0.0950481 0.0763584 -1.2447618 0.2138730 -0.2451151 0.0550190 olsen_2020
-0.0685988 0.0781455 -0.8778343 0.3805063 -0.2221779 0.0849803 paredes_2019
-0.0510415 0.0749541 -0.6809698 0.4962580 -0.1983644 0.0962815 sanchez_2021
-0.0708787 0.0784105 -0.9039447 0.3665227 -0.2249872 0.0832298 schmidel_2014
-0.0948764 0.0834956 -1.1363036 0.2564438 -0.2589731 0.0692204 shenoy_2012
-0.0577383 0.0908882 -0.6352675 0.5255805 -0.2363617 0.1208851 silva_2005
-0.0735040 0.0700020 -1.0500266 0.2943611 -0.2111359 0.0641279 stungaru_2019
-0.0698323 0.0773919 -0.9023203 0.3673771 -0.2219331 0.0822686 tamagno_2023
-0.0379155 0.0440822 -0.8601083 0.3901967 -0.1245527 0.0487218 teather_2001
-0.0656020 0.0809741 -0.8101601 0.4183170 -0.2247770 0.0935730 yan_2023
-0.0684593 0.0765250 -0.8946008 0.3715093 -0.2188758 0.0819572 yang_2023
-0.0605799 0.0533660 -1.1351769 0.2569533 -0.1654799 0.0443201 zaluski_2022
-0.0669336 0.0974270 -0.6870133 0.4924473 -0.2584297 0.1245625 zhou_2021
leave_one_study_out_lnVR_forest_plot <- ggplot(results.leave_study_out_model_lnVR,
    aes(x = fct_reorder(as.factor(study_id), Estimate), y = Estimate, ymin = ci.lb,
        ymax = ci.ub)) + geom_pointrange() + geom_hline(yintercept = 0, linetype = "dashed",
    color = "red") + theme_bw() + theme(legend.position = "none", axis.text = element_text(color = "black"),
    axis.title = element_text(face = "bold", color = "black"), plot.caption = element_text(size = 10,
        color = "gray10", face = "italic"), axis.text.y = element_text(size = 8)) +
    labs(caption = "The value in each point is the point estimate excluding one study at a time",
        x = "Study ID", y = "lnVR") + coord_flip()

print(leave_one_study_out_lnVR_forest_plot)

# ggsave(here('figures', 'leave_one_study_out_lnVR_forest_plot.pdf'), width =
# 10, height = 10, units = 'cm', scale = 2, dpi = 800) ggsave(here('figures',
# 'leave_one_study_out_lnVR_forest_plot.jpg'), width = 10, height = 10, units =
# 'cm', scale = 2, dpi = 800)

results.leave_study_out_model_lnVR %>%
    summarise(estimate = mean(Estimate), se = mean(SE), zval = mean(zval), pval = mean(pval),
        ci.lb = mean(ci.lb), ci.ub = mean(ci.ub)) %>%
    kable() %>%
    kable_styling("striped", position = "left")
estimate se zval pval ci.lb ci.ub
-0.0678285 0.0764647 -0.8976253 0.3757357 -0.2181149 0.0824579

Leave one species out

Intercept only model (lnRR)

# Convert species_latin to a factor and create a new column for the
# leave-one-out procedure
data$leave_species <- as.factor(data$species_latin)

# Initialize lists to contain the model estimates and VCV matrices
leave_species_out_model_lnRR <- list()
VCV_leave_species_out_lnRR <- list()

# save to save time - running this model is time-consuming

# Save as .Rds file saveRDS(leave_species_out_model_lnRR, file = here('R.data',
# 'leave_species_out_model_lnRR.Rds'))

# Load from .Rds file
leave_species_out_model_lnRR <- readRDS(here("R.data", "leave_species_out_model_lnRR.Rds"))


# Save as .Rdata file save(leave_study_out_model_lnVR, file = here('R.data',
# 'leave_species_out_model_lnRR.Rdata'))

# Load from .Rdata file
load(here("R.data", "leave_species_out_model_lnRR.Rdata"))

# Iteratively run the multilevel model, leaving out one species at a time
for (i in 1:length(levels(data$leave_species))) {
    # Create the data with one species removed at a time
    data_species_leave <- data %>%
        filter(leave_species != levels(data$leave_species)[i])

    # Create a VCV matrix for the subset data
    VCV_leave_species_out_lnRR[[i]] <- impute_covariance_matrix(vi = data_species_leave$lnRRv,
        cluster = data_species_leave$study_id, r = 0.5)

    # Model fitting
    leave_species_out_model_lnRR[[i]] <- rma.mv(yi = data_species_leave$lnRR, V = VCV_leave_species_out_lnRR[[i]],
        random = list(~1 | study_id, ~1 | assay_id, ~1 | species_latin, ~1 | pesticide),
        method = "REML", test = "t", data = data_species_leave, sparse = TRUE)
}


results.leave_species_out_model_lnRR <- as.data.frame(cbind(sapply(leave_species_out_model_lnRR,
    function(x) summary(x)$beta), sapply(leave_species_out_model_lnRR, function(x) summary(x)$se),
    sapply(leave_species_out_model_lnRR, function(x) summary(x)$zval), sapply(leave_species_out_model_lnRR,
        function(x) summary(x)$pval), sapply(leave_species_out_model_lnRR, function(x) summary(x)$ci.lb),
    sapply(leave_species_out_model_lnRR, function(x) summary(x)$ci.ub)))

colnames(results.leave_species_out_model_lnRR) <- c("Estimate", "SE", "zval", "pval",
    "ci.lb", "ci.ub")
results.leave_species_out_model_lnRR$species_latin <- unique(data$species_latin)

# Display the results table
kable(results.leave_species_out_model_lnRR) %>%
    kable_styling("striped", position = "left") %>%
    scroll_box(width = "100%", height = "500px")
Estimate SE zval pval ci.lb ci.ub species_latin
-0.1823464 0.0783664 -2.326844 0.0204216 -0.3363605 -0.0283322 Danio rerio
-0.2931214 0.1383311 -2.118984 0.0361534 -0.5670074 -0.0192354 Oreochromis niloticus
-0.2948379 0.1402541 -2.102169 0.0361319 -0.5705235 -0.0191523 Jenynsia multidentata
-0.2715611 0.0946959 -2.867716 0.0043309 -0.4576679 -0.0854543 Salmo trutta
-0.2222167 0.1243949 -1.786382 0.0747197 -0.4666926 0.0222591 Oryzias latipes
-0.2690256 0.1417029 -1.898519 0.0583212 -0.5475706 0.0095193 Luciobarbus bocagei
-0.2827246 0.1361799 -2.076111 0.0384815 -0.5503911 -0.0150582 Alburnus alburnus
-0.2677348 0.1377674 -1.943383 0.0526360 -0.5385325 0.0030628 Poecilia latipinna
-0.2516205 0.1337990 -1.880586 0.0606871 -0.5145834 0.0113424 Poecilia reticulata
-0.3080645 0.1311092 -2.349680 0.0192277 -0.5657377 -0.0503913 Oryzias melastigma
leave_one_species_out_lnRR_forest_plot <- ggplot(results.leave_species_out_model_lnRR,
    aes(x = fct_reorder(as.factor(species_latin), Estimate), y = Estimate, ymin = ci.lb,
        ymax = ci.ub)) + geom_pointrange() + geom_hline(yintercept = 0, linetype = "dashed",
    color = "red") + theme_bw() + theme(legend.position = "none", axis.text = element_text(color = "black"),
    axis.title = element_text(face = "bold", color = "black"), plot.caption = element_text(size = 10,
        color = "gray10", face = "italic"), axis.text.y = element_text(size = 8)) +
    labs(caption = "The value in each point is the estimate excluding one species at a time",
        x = "Species Latin", y = "lnRR") + ylim(-0.6, 0.2) + coord_flip()

print(leave_one_species_out_lnRR_forest_plot)

# ggsave(here('figures', 'leave_one_species_out_lnRR_forest_plot.pdf'), width =
# 10, height = 5, units = 'cm', scale = 2, dpi = 800) ggsave(here('figures',
# 'leave_one_species_out_lnRR_forest_plot.jpg'), width = 10, height = 5, units
# = 'cm', scale = 2, dpi = 800)

results.leave_species_out_model_lnRR %>%
    summarise(estimate = mean(Estimate), se = mean(SE), zval = mean(zval), pval = mean(pval),
        ci.lb = mean(ci.lb), ci.ub = mean(ci.ub)) %>%
    kable() %>%
    kable_styling("striped", position = "left")
estimate se zval pval ci.lb ci.ub
-0.2643254 0.1256601 -2.135037 0.0401111 -0.5115067 -0.017144

Intercept only model (lnVR)

# Convert species_latin to a factor and create a new column for the
# leave-one-out procedure
data$leave_species <- as.factor(data$species_latin)

# Initialize lists to contain the model estimates and VCV matrices
leave_species_out_model_lnVR <- list()
VCV_leave_species_out_lnVR <- list()

# Save as .Rds file saveRDS(leave_species_out_model_lnRR, file = here('R.data',
# 'leave_species_out_model_lnVR.Rds'))

# Load from .Rds file
leave_species_out_model_lnVR <- readRDS(here("R.data", "leave_species_out_model_lnVR.Rds"))


# Save as .Rdata file save(leave_study_out_model_lnVR, file = here('R.data',
# 'leave_species_out_model_lnVR.Rdata'))

# Load from .Rdata file
load(here("R.data", "leave_species_out_model_lnVR.Rdata"))

# Iteratively run the multilevel model, leaving out one species at a time
for (i in 1:length(levels(data$leave_species))) {
    # Create the data with one species removed at a time
    data_species_leave <- data %>%
        filter(leave_species != levels(data$leave_species)[i])

    # Create a VCV matrix for the subset data
    VCV_leave_species_out_lnVR[[i]] <- impute_covariance_matrix(vi = data_species_leave$lnVRv,
        cluster = data_species_leave$study_id, r = 0.5)

    # Model fitting
    leave_species_out_model_lnVR[[i]] <- rma.mv(yi = data_species_leave$lnVR, V = VCV_leave_species_out_lnVR[[i]],
        random = list(~1 | study_id, ~1 | assay_id, ~1 | species_latin, ~1 | pesticide),
        method = "REML", test = "t", data = data_species_leave, sparse = TRUE)
}

results.leave_species_out_model_lnVR <- as.data.frame(cbind(sapply(leave_species_out_model_lnVR,
    function(x) summary(x)$beta), sapply(leave_species_out_model_lnVR, function(x) summary(x)$se),
    sapply(leave_species_out_model_lnVR, function(x) summary(x)$zval), sapply(leave_species_out_model_lnVR,
        function(x) summary(x)$pval), sapply(leave_species_out_model_lnVR, function(x) summary(x)$ci.lb),
    sapply(leave_species_out_model_lnVR, function(x) summary(x)$ci.ub)))

colnames(results.leave_species_out_model_lnVR) <- c("Estimate", "SE", "zval", "pval",
    "ci.lb", "ci.ub")
results.leave_species_out_model_lnVR$species_latin <- unique(data$species_latin)

# Display the results table
kable(results.leave_species_out_model_lnVR) %>%
    kable_styling("striped", position = "left") %>%
    scroll_box(width = "100%", height = "500px")
Estimate SE zval pval ci.lb ci.ub species_latin
-0.0762239 0.0823193 -0.9259548 0.3549713 -0.2380067 0.0855589 Danio rerio
-0.1512107 0.1171878 -1.2903283 0.1994175 -0.3832344 0.0808129 Oreochromis niloticus
-0.0388610 0.0845842 -0.4594357 0.6461585 -0.2051210 0.1273990 Jenynsia multidentata
-0.0704455 0.0832357 -0.8463376 0.3978193 -0.2340294 0.0931384 Salmo trutta
-0.0411794 0.0445311 -0.9247341 0.3556065 -0.1286973 0.0463385 Oryzias latipes
-0.0317717 0.0443399 -0.7165478 0.4740562 -0.1189306 0.0553872 Luciobarbus bocagei
-0.0669336 0.0974270 -0.6870133 0.4924473 -0.2584297 0.1245625 Alburnus alburnus
-0.1037526 0.0730224 -1.4208321 0.1561058 -0.2472866 0.0397814 Poecilia latipinna
-0.0873669 0.0886485 -0.9855422 0.3248982 -0.2615929 0.0868592 Poecilia reticulata
-0.0911190 0.0803211 -1.1344338 0.2572261 -0.2489769 0.0667388 Oryzias melastigma
leave_one_species_out_lnVR_forest_plot <- ggplot(results.leave_species_out_model_lnVR,
    aes(x = fct_reorder(as.factor(species_latin), Estimate), y = Estimate, ymin = ci.lb,
        ymax = ci.ub)) + geom_pointrange() + geom_hline(yintercept = 0, linetype = "dashed",
    color = "red") + theme_bw() + theme(legend.position = "none", axis.text = element_text(color = "black"),
    axis.title = element_text(face = "bold", color = "black"), plot.caption = element_text(size = 10,
        color = "gray10", face = "italic"), axis.text.y = element_text(size = 8)) +
    labs(caption = "The value in each point is the estimate excluding one species at a time",
        x = "Species Latin", y = "lnVR") + coord_flip()

print(leave_one_species_out_lnVR_forest_plot)

# ggsave(here('figures', 'leave_one_species_out_lnVR_forest_plot.pdf'), width =
# 10, height = 5, units = 'cm', scale = 2, dpi = 800) ggsave(here('figures',
# 'leave_one_species_out_lnVR_forest_plot.jpg'), width = 10, height = 5, units
# = 'cm', scale = 2, dpi = 800)

results.leave_species_out_model_lnVR %>%
    summarise(estimate = mean(Estimate), se = mean(SE), zval = mean(zval), pval = mean(pval),
        ci.lb = mean(ci.lb), ci.ub = mean(ci.ub)) %>%
    kable() %>%
    kable_styling("striped", position = "left")
estimate se zval pval ci.lb ci.ub
-0.0758864 0.0795617 -0.939116 0.3658707 -0.2324305 0.0806577

Leave one pesticide out

Intercept only model (lnRR)

# Convert pesticide_chemical_class to a factor and create a new column for the
# leave-one-out procedure
data$leave_pesticide <- as.factor(data$pesticide_chemical_class)

# Initialize lists to contain the model estimates and VCV matrices
leave_pesticide_out_model_lnRR <- list()
VCV_leave_pesticide_out_lnRR <- list()

# Save as .Rds file saveRDS(leave_species_out_model_lnRR, file = here('R.data',
# 'leave_pesticide_out_model_lnRR.Rds'))

# Load from .Rds file
leave_pesticide_out_model_lnRR <- readRDS(here("R.data", "leave_pesticide_out_model_lnRR.Rds"))


# Save as .Rdata file save(leave_pesticide_out_model_lnRR, file =
# here('R.data', 'leave_pesticide_out_model_lnRR.Rdata'))

# Load from .Rdata file
load(here("R.data", "leave_pesticide_out_model_lnRR.Rdata"))

# Iteratively run the multilevel model, leaving out one pesticide chemical
# class at a time
for (i in 1:length(levels(data$leave_pesticide))) {
    data_pesticide_leave <- data %>%
        filter(leave_pesticide != levels(data$leave_pesticide)[i])

    VCV_leave_pesticide_out_lnRR[[i]] <- impute_covariance_matrix(vi = data_pesticide_leave$lnRRv,
        cluster = data_pesticide_leave$study_id, r = 0.5)

    leave_pesticide_out_model_lnRR[[i]] <- rma.mv(yi = data_pesticide_leave$lnRR,
        V = VCV_leave_pesticide_out_lnRR[[i]], random = list(~1 | study_id, ~1 |
            assay_id, ~1 | species_latin, ~1 | pesticide), method = "REML", test = "t",
        data = data_pesticide_leave, sparse = TRUE)
}

results.leave_pesticide_out_model_lnRR <- as.data.frame(cbind(sapply(leave_pesticide_out_model_lnRR,
    function(x) summary(x)$beta), sapply(leave_pesticide_out_model_lnRR, function(x) summary(x)$se),
    sapply(leave_pesticide_out_model_lnRR, function(x) summary(x)$zval), sapply(leave_pesticide_out_model_lnRR,
        function(x) summary(x)$pval), sapply(leave_pesticide_out_model_lnRR, function(x) summary(x)$ci.lb),
    sapply(leave_pesticide_out_model_lnRR, function(x) summary(x)$ci.ub)))

colnames(results.leave_pesticide_out_model_lnRR) <- c("Estimate", "SE", "zval", "pval",
    "ci.lb", "ci.ub")
results.leave_pesticide_out_model_lnRR$pesticide_chemical_class <- unique(data$pesticide_chemical_class)

# Display the results table
kable(results.leave_pesticide_out_model_lnRR) %>%
    kable_styling("striped", position = "left") %>%
    scroll_box(width = "100%", height = "500px")
Estimate SE zval pval ci.lb ci.ub pesticide_chemical_class
-0.2709573 0.1229306 -2.204150 0.0280595 -0.5125981 -0.0293165 organophosphate
-0.2831370 0.1229412 -2.303027 0.0217408 -0.5247590 -0.0415150 urea
-0.2708383 0.1246354 -2.173045 0.0303123 -0.5157962 -0.0258805 dioxolanes
-0.2784144 0.1262790 -2.204756 0.0280205 -0.5266424 -0.0301864 neonicotinoid
-0.2764455 0.1267305 -2.181365 0.0296936 -0.5255289 -0.0273621 B-methoxyacrylates
-0.3388205 0.1528384 -2.216855 0.0272420 -0.6393639 -0.0382771 phenoxy
-0.2695460 0.1222705 -2.204505 0.0280010 -0.5098469 -0.0292452 organochlorine
-0.2720410 0.1228927 -2.213648 0.0273711 -0.5135782 -0.0305038 organophosphate and organochlorine
-0.2149606 0.0925602 -2.322387 0.0207630 -0.3969804 -0.0329407 triazole
-0.2741606 0.1211721 -2.262573 0.0241758 -0.5123448 -0.0359764 rotenones
-0.2697352 0.1491096 -1.808973 0.0712212 -0.5628898 0.0234194 pyrethroid
-0.2568284 0.1202154 -2.136401 0.0332703 -0.4931817 -0.0204751 triazine
-0.2401524 0.1352142 -1.776088 0.0764618 -0.5059539 0.0256492 carbamate
leave_one_pesticide_out_lnRR_forest_plot <- ggplot(results.leave_pesticide_out_model_lnRR,
    aes(x = fct_reorder(as.factor(pesticide_chemical_class), Estimate), y = Estimate,
        ymin = ci.lb, ymax = ci.ub)) + geom_pointrange() + geom_hline(yintercept = 0,
    linetype = "dashed", color = "red") + theme_bw() + theme(legend.position = "none",
    axis.text = element_text(color = "black"), axis.title = element_text(face = "bold",
        color = "black"), plot.caption = element_text(size = 10, color = "gray10",
        face = "italic"), axis.text.y = element_text(size = 8)) + labs(caption = "The value in each point is the estimate excluding one pesticide at a time",
    x = "Pesticide Chemical Class", y = "lnRR") + ylim(-0.7, 0.2) + coord_flip()

print(leave_one_pesticide_out_lnRR_forest_plot)

# ggsave(here('figures', 'leave_one_pesticide_out_lnRR_forest_plot.pdf'), width
# = 10, height = 5, units = 'cm', scale = 2, dpi = 800) ggsave(here('figures',
# 'leave_one_pesticide_out_lnRR_forest_plot.jpg'), width = 10, height = 5,
# units = 'cm', scale = 2, dpi = 800)

results.leave_pesticide_out_model_lnRR %>%
    summarise(estimate = mean(Estimate), se = mean(SE), zval = mean(zval), pval = mean(pval),
        ci.lb = mean(ci.lb), ci.ub = mean(ci.ub)) %>%
    kable() %>%
    kable_styling("striped", position = "left")
estimate se zval pval ci.lb ci.ub
-0.2704644 0.1261377 -2.154444 0.0343333 -0.5184203 -0.0225085

Intercept only model (lnVR)

# Convert pesticide_chemical_class to a factor and create a new column for the leave-one-out procedure
data$leave_pesticide <- as.factor(data$pesticide_chemical_class)

# Initialize lists to contain the model estimates and VCV matrices
leave_pesticide_out_model_lnVR <- list()
VCV_leave_pesticide_out_lnVR <- list()

# Iteratively run the multilevel model, leaving out one pesticide chemical class at a time
for(i in 1:length(levels(data$leave_pesticide))){
  # Create the data with one pesticide removed at a time
  data_pesticide_leave <- data %>% filter(leave_pesticide != levels(data$leave_pesticide)[i])
  
  # Create a VCV matrix for the subset data
  VCV_leave_pesticide_out_lnVR[[i]] <- impute_covariance_matrix(vi = data_pesticide_leave$lnVRv, cluster = data_pesticide_leave$study_id, r = 0.5)
  
  # Model fitting
  leave_pesticide_out_model_lnVR[[i]] <- rma.mv(yi = data_pesticide_leave$lnVR,
                                                V = VCV_leave_pesticide_out_lnVR[[i]],
                                                random = list(~1 | study_id,
                                                              ~1 | assay_id,
                                                              ~1 | species_latin,
                                                              ~1 | pesticide),
                                                method = "REML", 
                                                test = "t",
                                                data = data_pesticide_leave,
                                                sparse = TRUE)
} 

results.leave_pesticide_out_model_lnVR <- as.data.frame(cbind(
  sapply(leave_pesticide_out_model_lnVR, function(x) summary(x)$beta), # extract the beta coefficient from all models
  sapply(leave_pesticide_out_model_lnVR, function(x) summary(x)$se),   # extract the standard error from all models
  sapply(leave_pesticide_out_model_lnVR, function(x) summary(x)$zval), # extract the z value from all models
  sapply(leave_pesticide_out_model_lnVR, function(x) summary(x)$pval), # extract the p value from all models
  sapply(leave_pesticide_out_model_lnVR, function(x) summary(x)$ci.lb),# extract the lower confidence interval for all models
  sapply(leave_pesticide_out_model_lnVR, function(x) summary(x)$ci.ub) # extract the upper confidence interval for all models
))

colnames(results.leave_pesticide_out_model_lnVR) <- c("Estimate", "SE", "zval", "pval", "ci.lb", "ci.ub") # change column names
results.leave_pesticide_out_model_lnVR$pesticide_chemical_class <- unique(data$pesticide_chemical_class)

# Display the results table
kable(results.leave_pesticide_out_model_lnVR) %>%
  kable_styling("striped", position = "left") %>%
  scroll_box(width = "100%", height = "500px")
Estimate SE zval pval ci.lb ci.ub pesticide_chemical_class
-0.0708509 0.0832146 -0.8514232 0.3950230 -0.2344232 0.0927215 organophosphate
-0.0923824 0.0788418 -1.1717441 0.2419311 -0.2473338 0.0625690 urea
-0.0720351 0.0767686 -0.9383406 0.3485865 -0.2229158 0.0788456 dioxolanes
-0.0725936 0.0742223 -0.9780566 0.3286175 -0.2184932 0.0733060 neonicotinoid
-0.0737633 0.0811302 -0.9091967 0.3637521 -0.2332212 0.0856946 B-methoxyacrylates
0.0024225 0.0935039 0.0259081 0.9793447 -0.1814449 0.1862899 phenoxy
-0.0687994 0.0779251 -0.8828923 0.3777722 -0.2219472 0.0843483 organochlorine
-0.0701593 0.0765486 -0.9165331 0.3598952 -0.2206104 0.0802918 organophosphate and organochlorine
-0.0707677 0.1088089 -0.6503850 0.5158539 -0.2847407 0.1432053 triazole
-0.0734635 0.0774377 -0.9486786 0.3433335 -0.2256803 0.0787534 rotenones
-0.1356974 0.0827064 -1.6407124 0.1016592 -0.2983009 0.0269062 pyrethroid
-0.0244357 0.0458342 -0.5331321 0.5942466 -0.1145495 0.0656781 triazine
-0.0364973 0.0911058 -0.4006035 0.6889212 -0.2155914 0.1425968 carbamate
leave_one_pesticide_out_lnVR_forest_plot <- ggplot(results.leave_pesticide_out_model_lnVR, 
                      aes(x = fct_reorder(as.factor(pesticide_chemical_class), Estimate), 
                          y = Estimate, 
                          ymin = ci.lb, 
                          ymax = ci.ub)) +
  geom_pointrange() +
  geom_hline(yintercept = 0, linetype = "dashed", color = "red") +
  theme_bw() +
  theme(legend.position = "none",
        axis.text = element_text(color = "black"),
        axis.title = element_text(face = "bold", color = "black"),
        plot.caption = element_text(size = 10, color = "gray10", face = "italic"),
        axis.text.y = element_text(size = 8)) +
  labs(caption = "The value in each point is the estimate excluding one pesticide at a time",
       x = "Pesticide Chemical Class",
       y = "lnVR") +
  coord_flip()

print(leave_one_pesticide_out_lnVR_forest_plot)

# ggsave(here("figures", "leave_one_pesticide_out_lnVR_forest_plot.pdf"), width = 10, height = 5, units = "cm", scale = 2, dpi = 800)
# ggsave(here("figures", "leave_one_pesticide_out_lnVR_forest_plot.jpg"), width = 10, height = 5, units = "cm", scale = 2, dpi = 800)
 
 results.leave_pesticide_out_model_lnVR %>% 
  summarise(estimate = mean(Estimate), 
            se = mean(SE), 
            zval = mean(zval), 
            pval = mean(pval), 
            ci.lb = mean(ci.lb), 
            ci.ub = mean(ci.ub)) %>% 
  kable() %>% kable_styling("striped", position = "left")
estimate se zval pval ci.lb ci.ub
-0.0660787 0.0806191 -0.8304454 0.4337644 -0.2245579 0.0924005

Alternative variance-covariance matrices

Intercept only model (lnRR)

# Model
lnRR_intercept_only2 <- rma.mv(yi = lnRR, V = lnRRVCV2, random = list(~1 | study_id,
    ~1 | assay_id, ~1 | species_latin, ~1 | pesticide), method = "REML", test = "t",
    data = data, sparse = T)

# Summary statistics
summary(lnRR_intercept_only2)
## 
## Multivariate Meta-Analysis Model (k = 448; method: REML)
## 
##    logLik   Deviance        AIC        BIC       AICc   
## -169.9073   339.8145   349.8145   370.3273   349.9506   
## 
## Variance Components:
## 
##             estim    sqrt  nlvls  fixed         factor 
## sigma^2.1  0.0547  0.2338     37     no       study_id 
## sigma^2.2  0.0564  0.2375    448     no       assay_id 
## sigma^2.3  0.0604  0.2457     10     no  species_latin 
## sigma^2.4  0.0076  0.0873     30     no      pesticide 
## 
## Test for Heterogeneity:
## Q(df = 447) = 4339.0531, p-val < .0001
## 
## Model Results:
## 
## estimate      se     tval   df    pval    ci.lb    ci.ub    
##  -0.2655  0.1111  -2.3886  447  0.0173  -0.4839  -0.0470  * 
## 
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
mod_results(lnRR_intercept_only2, mod = "1", data = data, group = "study_id")
##      name   estimate    lowerCL     upperCL  lowerPR   upperPR
## 1 Intrcpt -0.2654576 -0.4838694 -0.04704575 -1.12539 0.5944748
i2_ml(lnRR_intercept_only2)
##         I2_Total      I2_study_id      I2_assay_id I2_species_latin 
##        97.397072        29.730523        30.685913        32.837521 
##     I2_pesticide 
##         4.143115

Intercept only model (lnVR)

# Model
lnVR_intercept_only2 <- rma.mv(yi = lnVR, V = lnVRVCV2, random = list(~1 | study_id,
    ~1 | assay_id, ~1 | species_latin, ~1 | pesticide), method = "REML", test = "t",
    data = data, sparse = TRUE)


# Summary results
summary(lnVR_intercept_only2)
## 
## Multivariate Meta-Analysis Model (k = 448; method: REML)
## 
##    logLik   Deviance        AIC        BIC       AICc   
## -392.0815   784.1630   794.1630   814.6758   794.2990   
## 
## Variance Components:
## 
##             estim    sqrt  nlvls  fixed         factor 
## sigma^2.1  0.0089  0.0945     37     no       study_id 
## sigma^2.2  0.2454  0.4953    448     no       assay_id 
## sigma^2.3  0.0353  0.1880     10     no  species_latin 
## sigma^2.4  0.0024  0.0492     30     no      pesticide 
## 
## Model Results:
## 
## estimate      se     tval   df    pval    ci.lb   ci.ub    
##  -0.0799  0.0894  -0.8933  447  0.3722  -0.2557  0.0959    
## 
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
mod_results(lnVR_intercept_only2, mod = "1", data = data, group = "study_id")  # For prediction intervals
##      name    estimate    lowerCL    upperCL   lowerPR   upperPR
## 1 Intrcpt -0.07990536 -0.2556903 0.09587962 -1.156438 0.9966271
i2_ml(lnVR_intercept_only2)
##         I2_Total      I2_study_id      I2_assay_id I2_species_latin 
##       84.8946375        2.5975924       71.3237081       10.2699094 
##     I2_pesticide 
##        0.7034276

Figure s19

Impacts of pesticide exposure on fish conspecific interactions using alternative more conservative variance covariance matrix

lnRR_intercept_only2_orchard <- orchaRd::orchard_plot(lnRR_intercept_only2, group = "study_id",
    xlab = "lnRR", data = data, g = TRUE, k.pos = "right", colour = FALSE, fill = TRUE,
    trunk.size = 3, legend.pos = "none", branch.size = 1.5, twig.size = 1) + scale_fill_manual(values = RColorBrewer::brewer.pal(8,
    "Dark2")[3]) + scale_x_discrete(labels = c("Model estimates"))

lnVR_intercept_only2_orchard <- orchaRd::orchard_plot(lnVR_intercept_only2, group = "study_id",
    xlab = "lnVR", data = data, g = TRUE, k.pos = "right", colour = FALSE, fill = TRUE,
    trunk.size = 3, legend.pos = "none", branch.size = 1.5, twig.size = 1) + scale_fill_manual(values = RColorBrewer::brewer.pal(8,
    "Dark2")[4]) + scale_x_discrete(labels = c("Model estimates"))

# Combine the two plots
alternative_VCV_figure <- lnRR_intercept_only2_orchard + lnVR_intercept_only2_orchard +
    plot_annotation(tag_levels = "A")


print(alternative_VCV_figure)

# ggsave(here('figures', 'alternative_VCV_figure.jpg'), width = 24, height =
# 10, units = 'cm', dpi = 800) ggsave(here('figures',
# 'alternative_VCV_figure.pdf'), width = 24, height = 10, units = 'cm', dpi =
# 800)

Leave studies with imputed errors out

Intercept only model (lnRR)

data_no_imputed <- data %>%
    filter(data$control_imputed == "No")

lnRRVCV_no_imputed <- metafor::vcalc(vi = lnRRv, cluster = exp_id, obs = assay_id,
    data = data_no_imputed, rho = 0.5)

# Model
lnRR_intercept_only_no_imputed <- rma.mv(yi = lnRR, V = lnRRVCV_no_imputed, random = list(~1 |
    study_id, ~1 | assay_id, ~1 | species_latin, ~1 | pesticide), method = "REML",
    test = "t", data = data_no_imputed, sparse = T)

# Summary statistics
summary(lnRR_intercept_only_no_imputed)
## 
## Multivariate Meta-Analysis Model (k = 448; method: REML)
## 
##    logLik   Deviance        AIC        BIC       AICc   
## -169.3896   338.7792   348.7792   369.2920   348.9153   
## 
## Variance Components:
## 
##             estim    sqrt  nlvls  fixed         factor 
## sigma^2.1  0.0532  0.2308     37     no       study_id 
## sigma^2.2  0.0582  0.2412    448     no       assay_id 
## sigma^2.3  0.0613  0.2477     10     no  species_latin 
## sigma^2.4  0.0080  0.0897     30     no      pesticide 
## 
## Test for Heterogeneity:
## Q(df = 447) = 5125.7373, p-val < .0001
## 
## Model Results:
## 
## estimate      se     tval   df    pval    ci.lb    ci.ub    
##  -0.2669  0.1119  -2.3862  447  0.0174  -0.4868  -0.0471  * 
## 
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

Intercept only model (lnVR)

# Calculate the variance-covariance matrix for lnVR
lnVRVCV_no_imputed <- metafor::vcalc(vi = lnVRv, cluster = exp_id, obs = assay_id,
    data = data_no_imputed, rho = 0.5)

# Model
lnVR_intercept_only_no_imputed <- rma.mv(yi = lnVR, V = lnVRVCV_no_imputed, random = list(~1 |
    study_id, ~1 | assay_id, ~1 | species_latin, ~1 | pesticide), method = "REML",
    test = "t", data = data_no_imputed, sparse = TRUE)

# Summary statistics
summary(lnVR_intercept_only_no_imputed)
## 
## Multivariate Meta-Analysis Model (k = 448; method: REML)
## 
##    logLik   Deviance        AIC        BIC       AICc   
## -390.6297   781.2594   791.2594   811.7722   791.3954   
## 
## Variance Components:
## 
##             estim    sqrt  nlvls  fixed         factor 
## sigma^2.1  0.0088  0.0936     37     no       study_id 
## sigma^2.2  0.2504  0.5004    448     no       assay_id 
## sigma^2.3  0.0240  0.1549     10     no  species_latin 
## sigma^2.4  0.0031  0.0560     30     no      pesticide 
## 
## Test for Heterogeneity:
## Q(df = 447) = 3617.6450, p-val < .0001
## 
## Model Results:
## 
## estimate      se     tval   df    pval    ci.lb   ci.ub    
##  -0.0848  0.0829  -1.0230  447  0.3069  -0.2477  0.0781    
## 
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
# Plot without imputed data - lnRR
lnRR_intercept_only_no_imputed_orchard <- orchaRd::orchard_plot(lnRR_intercept_only_no_imputed,
    group = "study_id", xlab = "lnRR", data = data_no_imputed, g = TRUE, k.pos = "right",
    colour = FALSE, fill = TRUE, trunk.size = 3, legend.pos = "none", branch.size = 1.5,
    twig.size = 1) + scale_fill_manual(values = RColorBrewer::brewer.pal(8, "Dark2")[5]) +
    scale_x_discrete(labels = c("Model estimates"))

# Plot without imputed data - lnVR
lnVR_intercept_only_no_imputed_orchard <- orchaRd::orchard_plot(lnVR_intercept_only_no_imputed,
    group = "study_id", xlab = "lnVR", data = data_no_imputed, g = TRUE, k.pos = "right",
    colour = FALSE, fill = TRUE, trunk.size = 3, legend.pos = "none", branch.size = 1.5,
    twig.size = 1) + scale_fill_manual(values = RColorBrewer::brewer.pal(8, "Dark2")[6]) +
    scale_x_discrete(labels = c("Model estimates"))


# Combine the two plots
no_imputed_figure <- lnRR_intercept_only_no_imputed_orchard + lnVR_intercept_only_no_imputed_orchard +
    plot_annotation(tag_levels = "A")


print(no_imputed_figure)

# Save the plots without imputed data if needed
# ggsave(here('figures','no_imputed_orchard.jpg'), width = 24, height = 10,
# units = 'cm', dpi = 800) ggsave(here('figures','no_imputed_orchard.pdf'),
# width = 24, height = 10, units = 'cm', dpi = 800)
sessionInfo()
## R version 4.2.1 (2022-06-23 ucrt)
## Platform: x86_64-w64-mingw32/x64 (64-bit)
## Running under: Windows 10 x64 (build 22631)
## 
## Matrix products: default
## 
## locale:
## [1] LC_COLLATE=English_Australia.utf8  LC_CTYPE=English_Australia.utf8   
## [3] LC_MONETARY=English_Australia.utf8 LC_NUMERIC=C                      
## [5] LC_TIME=English_Australia.utf8    
## 
## attached base packages:
## [1] stats     graphics  grDevices utils     datasets  methods   base     
## 
## other attached packages:
##  [1] ggsankey_0.0.99999  MuMIn_1.47.5        clubSandwich_0.5.10
##  [4] orchaRd_2.0         rotl_3.1.0          ape_5.6-2          
##  [7] metagear_0.7        metafor_4.0-0       numDeriv_2016.8-1.1
## [10] metadat_1.2-0       Matrix_1.5-1        patchwork_1.2.0    
## [13] magrittr_2.0.3      kableExtra_1.4.0    here_1.0.1         
## [16] lubridate_1.9.2     forcats_1.0.0       stringr_1.5.0      
## [19] dplyr_1.1.0         purrr_1.0.1         readr_2.1.4        
## [22] tidyr_1.3.0         tibble_3.1.8        ggplot2_3.5.1      
## [25] tidyverse_2.0.0    
## 
## loaded via a namespace (and not attached):
##  [1] nlme_3.1-164       RColorBrewer_1.1-3 progress_1.2.2     httr_1.4.7        
##  [5] rprojroot_2.0.3    latex2exp_0.9.6    tools_4.2.1        bslib_0.4.2       
##  [9] utf8_1.2.2         R6_2.5.1           vipor_0.4.5        colorspace_2.0-3  
## [13] withr_3.0.1        tidyselect_1.2.0   prettyunits_1.1.1  emmeans_1.8.5     
## [17] compiler_4.2.1     cli_3.4.1          formatR_1.14       xml2_1.3.3        
## [21] sandwich_3.1-0     labeling_0.4.2     sass_0.4.5         scales_1.3.0      
## [25] mvtnorm_1.1-3      systemfonts_1.0.4  digest_0.6.29      rmarkdown_2.20    
## [29] svglite_2.1.3      rentrez_1.2.3      pkgconfig_2.0.3    htmltools_0.5.4   
## [33] highr_0.10         fastmap_1.1.0      rlang_1.1.0        rstudioapi_0.14   
## [37] farver_2.1.1       jquerylib_0.1.4    generics_0.1.3     zoo_1.8-11        
## [41] jsonlite_1.8.7     Rcpp_1.0.9         ggbeeswarm_0.7.1   munsell_0.5.0     
## [45] fansi_1.0.3        lifecycle_1.0.3    stringi_1.7.8      multcomp_1.4-25   
## [49] yaml_2.3.6         mathjaxr_1.6-0     MASS_7.3-57        grid_4.2.1        
## [53] parallel_4.2.1     crayon_1.5.2       rncl_0.8.6         lattice_0.20-45   
## [57] splines_4.2.1      hms_1.1.2          knitr_1.42         pillar_1.9.0      
## [61] tcltk_4.2.1        estimability_1.4.1 codetools_0.2-18   stats4_4.2.1      
## [65] XML_3.99-0.11      glue_1.6.2         evaluate_0.20      vctrs_0.6.0       
## [69] tzdb_0.3.0         gtable_0.3.2       cachem_1.0.7       xfun_0.37         
## [73] xtable_1.8-4       coda_0.19-4        survival_3.3-1     viridisLite_0.4.2 
## [77] beeswarm_0.4.0     timechange_0.2.0   TH.data_1.1-2      ellipsis_0.3.2
---
title: "The impacts of pesticide exposure on fish conspecific behavioural interactions: a systematic review and meta-analysis"
author: Kyle Morrison
date: "latest update: `r format(Sys.time(), '%d %B %Y')`"
output:
  html_document:
    toc: true
    toc_float: true
    code_folding: show
    code_download: true
    theme: flatly   # Options: cerulean, journal, flatly, readable, spacelab, united, cosmo, lumen, paper, sandstone, simplex, yeti
    highlight: monochrome  # Options: default, tango, pygments, kate, monochrome, espresso, zenburn, haddock, textmate
editor_options: 
  chunk_output_type: console

---
```{r setup, include = FALSE}
# knitr setting
knitr::opts_chunk$set(
  message = FALSE,
  warning = FALSE, 
  tidy = TRUE,
  cache = TRUE,
  echo=TRUE
)
```

# **Load packages and data**

## *Load packages*
```{r}
rm(list = ls())

pacman::p_load(tidyverse,
               here,
               kableExtra,
               magrittr, 
               patchwork,
               metafor,
               metagear,
               ape,
               rotl,
               orchaRd,
               clubSandwich,
               MuMIn,
               ggsankey)

```

## *Load Data*
```{r}
data <- read_csv(here("data", "fish_conspecific_behaviour_ma_data.csv"), skip = 0)

# Format ID variables as characters
data <- mutate_at(data, 
                  vars(study_id, 
                       exp_id, 
                       exp2_id, 
                       assay_id, 
                       assay2_id), 
                       as.character)
# Table of the dataset
 kable(data, "html") %>%
    kable_styling("bordered", position = "left") %>%
    scroll_box(width = "250%", height = "800px")


# Summary of the data set
kable(summary(data), "html") %>%
    kable_styling("bordered", position = "left") %>%
    scroll_box(width = "250%", height = "500px")
```


# **Data exploration and reporting of methodological items**
## *Figure 1B & 1C*
B) A bubble plot showing the number of effect sizes of each pesticide class per conspecific interaction behaviour described
C) A bar chart showing the total number of effect sizes per species
```{r,fig.width=8, fig.height=13}
# Summarize data by grouping on pesticide chemical class and behavior measured, then count entries.
pc_cb_summary <- data %>% 
  group_by(pesticide_chemical_class, behaviour_measured_standardised) %>% 
  summarise(n = n(), .groups = "drop")

# Determine the top 9 pesticide classes based on the number of records.
top_pesticide_class <- pc_cb_summary %>%
  group_by(pesticide_chemical_class) %>%
  summarise(total_count = sum(n)) %>%
  top_n(9, total_count) %>%
  pull(pesticide_chemical_class)

# Adjust category names to 'Other pesticide classes' for those pesticide classes not in the top 9
pc_cb_summary_filtered <- pc_cb_summary %>%
  mutate(pesticide_chemical_class = ifelse(pesticide_chemical_class %in% top_pesticide_class,
                                           pesticide_chemical_class,
                                           "Other Pesticide Classes")) %>%
  group_by(pesticide_chemical_class, behaviour_measured_standardised) %>%
  summarise(n = sum(n), .groups = "drop")

# Create the bubble plot
behaviour_pesticide_class_bubble_plot <- pc_cb_summary_filtered %>%
   ggplot(aes(
       x = fct_rev(fct_reorder(str_wrap(str_to_title(behaviour_measured_standardised), width = 15), n, .fun = 'sum')),
       y = fct_reorder(str_to_title(pesticide_chemical_class), n, .fun = 'sum'),
       size = n
   )) +
  geom_point(alpha = 0.5, color = RColorBrewer::brewer.pal(n = 8, name = "Dark2")[3]) +
  scale_size_continuous(range = c(5, 20)) +
  theme_bw() +
  guides(size = "none") +
  theme(
    legend.position = "none",
    axis.text = element_text(size = 12,color = "black"),
    axis.title = element_text(size = 12,face = "bold", color = "black"),
    plot.caption = element_text(size = 12, color = "gray10", face = "italic")
  ) +
  geom_text(aes(label = as.character(n)), size = 5, color = "gray10") +
  labs(
    caption = "The value in each cell is the total number of effect sizes",
    x = "Behaviour Measured",
    y = "Pesticide Chemical Class",
    tag = "B"
  )

# Group data by species, count entries, and drop groups post-summary.
sp_summary <- data %>% 
  group_by(species_english) %>% 
  summarise(n = n(), .groups = "drop")

# Calculate proportion and percentage of total counts for each species.
species_pct <- sp_summary %>% 
  mutate(proportion = n / sum(n), 
         percentage = proportion * 100)

# Create the bar plot
species_effect_size_count_bar_plot <- sp_summary %>%
  ggplot(aes(x = n, y = reorder(str_to_title(species_english), n))) + 
  geom_bar(stat = "identity", width = 0.8, alpha = 0.5, fill = RColorBrewer::brewer.pal(n = 8, name = "Dark2")[2]) +
  geom_text(aes(label = ifelse(n < 9, "", n), x = n / 2, y = reorder(str_to_title(species_english), n)), hjust = 0.5, size = 5, color = "black") +
  geom_text(data = species_pct, aes(label = paste0("(", round(percentage, 1), "%)"), x = n), 
            hjust = -0.1, size = 6, color = "black", fontface = "bold") +
  scale_x_continuous(expand = c(0, 0), limits = c(0, max(sp_summary$n) * 1.2)) +
  theme_bw() +
  guides(size = "none") +
  theme(legend.position = "none",
        axis.text = element_text(size = 12,color = "black"),
        axis.title = element_text(size = 12,face = "bold", color = "black"),
        plot.caption = element_text(size = 12, color = "gray10", face = "italic")) +
  labs(caption = "The value in each bar is the total number of effect sizes",
       x = "Total number of effect size estimates",
       y = "Species",
       tag = "C")

# Combine both plots into a single figure.
main_text_figure_1 <- behaviour_pesticide_class_bubble_plot / species_effect_size_count_bar_plot

print(main_text_figure_1)
 ggsave(here("figures", "main_text_figure_1.pdf"), width = 10, height = 13, units = "cm", scale = 2, dpi = 800)
 ggsave(here("figures", "main_text_figure_1.jpg"), width = 10, height = 13, units = "cm", scale = 2, dpi = 800)

```

## *Figure s2*
A bubble plot showing the number of effect sizes of each species per conspecific interaction behaviour described
```{r,fig.width=8, fig.height=6}
# Group data by species, count entries, and drop groups post-summary.
species_summary <- data %>%
  group_by(species_english, behaviour_measured_standardised) %>%
  summarise(
    n = n(),
    pesticide_chemical_class = first(pesticide_chemical_class),
    .groups = "drop"
  )

# Determine the top 20 species based on the number of records.
top_species <- species_summary %>%
  group_by(species_english, behaviour_measured_standardised) %>%
  summarise(total_count = sum(n), .groups = "drop") %>%
  top_n(20, total_count) %>%
  pull(species_english)

# Adjust category names to 'Other' for all but the top species, then re-summarize.
# species_summary_filtered <- species_summary %>%
#   mutate(species_english = ifelse(species_english %in% top_species,
#                                   species_english,
#                                   "Other Species")) %>%
#   group_by(species_english, behaviour_measured_standardised) %>%
#   summarise(n = sum(n), .groups = "drop")

# Create the bubble plot the behaviours assessed per species (number of effect size as count)

behaviour_species_bubble_plot <- species_summary %>% # can add _filtered if needed
  ggplot(aes(x = fct_rev(fct_reorder(str_to_title(behaviour_measured_standardised), n, .fun = 'sum')),
             y = fct_reorder(str_to_title(species_english), n, .fun = 'sum'),
             size = n)) +
  geom_point(alpha = 0.5, color = RColorBrewer::brewer.pal(n = 8, name = "Dark2")[2]) +
  scale_size_continuous(range = c(8, 25)) +
  theme_bw() +
  guides(size = "none") +
theme(legend.position = "none",
        axis.text = element_text(color = "black"),
        axis.title = element_text(face = "bold", color = "black"),
        plot.caption = element_text(size = 10, color = "gray10", face = "italic")) + 
  geom_text(aes(label = as.character(n)), size = 4, color = "gray10") +
  labs(caption = "The value in each cell is the number of effect sizes",
       x = "Behaviour Measured",
       y = "Species") +
  scale_color_brewer(palette = "Dark2", name = "Chemical Class")

print(behaviour_species_bubble_plot)

# ggsave(here("figures", "behaviour_species_bubble_plot.pdf"), width = 8, height = 6, units = "cm", scale = 2, dpi = 800)
# ggsave(here("figures", "behaviour_species_bubble_plot.jpg"), width = 8, height = 6, units = "cm", scale = 2, dpi = 800)
```

## *Figure s3*
A bar chart showing the sex of fish used in the literature
```{r,fig.width=10, fig.height=5}
# Group data by 'sex of fish' and count entries, then drop grouping for further analysis.
sex_summary <- data %>% 
  group_by(sex) %>% 
  summarise(n = n(), .groups = "drop")

# Calculate proportions and percentages of total studies for each sex.
sex_pct <- sex_summary %>% 
  mutate(proportion = n / sum(n),  
         percentage = proportion * 100)

# Create a bar plot visualizing the number of studies per sex, with annotations for counts and percentages.
fish_sex_study_count_bar_plot <- sex_summary %>%
  ggplot(aes(x = n, y = reorder(str_to_title(sex), n))) + 
  geom_bar(stat = "identity", width = 0.8, alpha = 0.5, fill = RColorBrewer::brewer.pal(n = 8, name = "Dark2")[2]) +
  geom_text(aes(label = n, x = n / 2, y = reorder(str_to_title(sex), n)), hjust = 0.5, size = 4, color = "black") +
  geom_text(data = sex_pct, aes(label = paste0("(", round(percentage, 1), "%)"), x = n), 
            hjust = -0.1, size = 4, color = "black", fontface = "bold") +
  scale_x_continuous(expand = c(0, 0), limits = c(0, max(sex_summary$n) * 1.2)) +
  theme_bw() +
  guides(size = "none") +
  theme(legend.position = "none",
        axis.text = element_text(color = "black"),
        axis.title = element_text(face = "bold", color = "black"),
        plot.caption = element_text(size = 10, color = "gray10", face = "italic")) +
  labs(caption = "The value in each bar is the total number of studies",
       x = "Total number of effect sizes",
       y = "Sex of fish")

print(fish_sex_study_count_bar_plot)

# ggsave(here("figures", "fish_sex_study_count_bar_plot.pdf"), width = 10, height = 5, units = "cm", scale = 2, dpi = 800)
# ggsave(here("figures", "fish_sex_study_count_bar_plot.jpg"), width = 10, height = 5, units = "cm", scale = 2, dpi = 800)
```

## *Figure s4*
A bar chart showing the reporting of the source of fish used in the literature
```{r,fig.width=10, fig.height=5}
# Extracts unique records from the dataset based on 'study_id', retaining all other associated data.
data_study <- data %>%
  distinct(study_id, .keep_all = TRUE) 

# Groups the filtered data by 'source of fish' and counts the number of studies per source, removing grouping afterwards.
source_summary <- data %>% 
  group_by(source) %>% 
  summarise(n = n(), .groups = "drop")

# Calculates the proportion and percentage of total studies for each source of fish.
source_pct <- source_summary %>% 
  mutate(proportion = n / sum(n),  # number of studies
         percentage = proportion * 100)

# Create the bar plot for the source of fish study count
fish_source_study_count_bar_plot <- source_summary %>%
  ggplot(aes(x = n, y = reorder(str_to_title(source), n))) + 
  geom_bar(stat = "identity", width = 0.8, alpha = 0.5, fill = RColorBrewer::brewer.pal(n = 8, name = "Dark2")[1]) +
  geom_text(aes(label = n, x = n / 2, y = reorder(str_to_title(source), n)), hjust = 0.5, size = 4, color = "black") +
  geom_text(data = source_pct, aes(label = paste0("(", round(percentage, 1), "%)"), x = n), 
            hjust = -0.1, size = 4, color = "black", fontface = "bold") +
  scale_x_continuous(expand = c(0, 0), limits = c(0, max(source_summary$n) * 1.2)) +
  theme_bw() +
  guides(size = "none") +
  theme(legend.position = "none",
        axis.text = element_text(color = "black"),
        axis.title = element_text(face = "bold", color = "black"),
        plot.caption = element_text(size = 10, color = "gray10", face = "italic")) +
  labs(caption = "The value in each bar is the total number of studies",
       x = "Total number of studies",
       y = "Source of fish") 

print(fish_source_study_count_bar_plot)

# ggsave(here("figures", "fish_source_study_count_bar_plot.pdf"), width = 10, height = 5, units = "cm", scale = 2, dpi = 800)
# ggsave(here("figures", "fish_source_study_count_bar_plot.jpg"), width = 10, height = 5, units = "cm", scale = 2, dpi = 800)
```

## *Figure s5*
A bubble plot showing the number of effect sizes of each pesticide per conspecific interaction behaviour described
```{r,fig.width=8, fig.height=8}
# Group data by species, count entries, and drop groups post-summary.
p_cb_summary <- data %>%
  group_by(pesticide, behaviour_measured_standardised) %>%
  summarise(
    n = n(),
    pesticide_chemical_class = first(pesticide_chemical_class),
    .groups = "drop"
  )
# Determine the top 8 pesticide classes based on the number of records.
top_pesticides <- p_cb_summary %>%
  group_by(pesticide, behaviour_measured_standardised) %>%
  summarise(total_count = sum(n), .groups = "drop") %>%
  top_n(20, total_count) %>%
  pull(pesticide)

# Adjust category names to 'Other Pesticides' for all but the top pesticide, then re-summarize.
# p_cb_summary_filtered <- p_cb_summary %>%
# mutate(pesticide = ifelse(pesticide %in% top_pesticides,
#                                          pesticide,
#                                          "Other Pesticides")) %>%
#  group_by(pesticide, behaviour_measured_standardised) %>%
#  summarise(n = sum(n), .groups = "drop")


# Create the bubble plot for the behaviours assessed per pesticide (effect size as count)

behaviour_pesticide_bubble_plot <- p_cb_summary %>% # can add _filtered if needed
   ggplot(aes(x = fct_rev(fct_reorder(str_to_title(behaviour_measured_standardised), n, .fun = 'sum')),
             y = fct_reorder(str_to_title(pesticide), n, .fun = 'sum'),
             size = n)) +
  geom_point(alpha = 0.5, color = RColorBrewer::brewer.pal(n = 8, name = "Dark2")[5]) +
  scale_size_continuous(range = c(4, 20)) +
  theme_bw() +
  guides(size = "none") +
theme(legend.position = "none",
        axis.text = element_text(color = "black"),
        axis.title = element_text(face = "bold", color = "black"),
        plot.caption = element_text(size = 10, color = "gray10", face = "italic")) +
  geom_text(aes(label = as.character(n)), size = 4, color = "gray10") +
  labs(caption = "The value in each cell is the number of effect sizes",
       x = "Behaviour Measured",
       y = "Pesticide Chemical Class") +
      scale_y_discrete(labels = function(x) ifelse(x %in% c("Ddt", "Dca", "Dcpmu"), toupper(x), x))

print(behaviour_pesticide_bubble_plot)

# ggsave(here("figures", "behaviour_pesticide_bubble_plot.pdf"), width = 8, height = 12, units = "cm", scale = 2, dpi = 800)
# ggsave(here("figures", "behaviour_pesticide_bubble_plot.jpg"), width = 8, height = 12, units = "cm", scale = 2, dpi = 800)
```

## *Figure s6*
A box and violin plot showing the distribution of pesticide dosages used in the literature
```{r}
# making dosages consistent for dosage comparisons
data_dosage <- data %>%
  filter(dosage != "not reported") %>% 
filter(dosage_unit != "not reported") %>% 
filter(!dosage_unit %in% c("nm", "um", "nM")) %>%
  mutate(dosage = as.numeric(dosage),
         dosage_unit = as.character(dosage_unit),
         dosage_unit_consistent = case_when(
           dosage_unit == "mg/L" ~ "ug/L", 
           dosage_unit == "ng/L" ~ "ug/L",
           dosage_unit == "g/L" ~ "ug/L",
           dosage_unit == "ppb" ~ "ug/L", 
           dosage_unit == "ppm" ~ "ug/L", 
           TRUE ~ dosage_unit),
         dosage_convert_ugL = case_when(
           dosage_unit == "mg/L" ~ dosage * 1000,
           dosage_unit == "ng/L" ~ dosage / 1000,
           dosage_unit == "g/L" ~ dosage/1000000,
           dosage_unit == "ppm" ~ dosage*1000, 
           TRUE ~ dosage))

# Summary table for the dosage converted
summary_data_dosage <- summary(data_dosage$dosage_convert_ugL)

# Filter the data for dosage_convert_ugL less than 5000
filtered_data_dosage <- data_dosage %>%
  filter(dosage_convert_ugL < 3000)

# Create the violin plot
pesticide_dosage_violin_plot <- ggplot(filtered_data_dosage, aes(y = dosage_unit_consistent, x = dosage_convert_ugL)) +
    geom_violin(fill = RColorBrewer::brewer.pal(n = 8, name = "Set2")[1], alpha = 0.4, color = NA, trim = FALSE) +
  geom_boxplot(width = 0.1, fill = "white", color = RColorBrewer::brewer.pal(n = 8, name = "Set2")[2], outlier.shape = NA) +
  geom_jitter(width = 0.3, height = 0.09, color = RColorBrewer::brewer.pal(n = 8, name = "Set2")[1], alpha = 0.8) +
  theme_bw() +
  theme(legend.position = "none",
        plot.title = element_text(face = "bold", hjust = 0.5),
        axis.title.x = element_blank(),
        axis.title.y = element_text(face = "bold"),
        axis.text.x = element_text(color = "black"),
        axis.text.y = element_blank(),
        axis.ticks = element_line(color = "black"),
        plot.caption = element_text(size = 10, color = "gray10", face = "italic")) +
  labs(caption = "Plot filtered for less than 3000 ug/L\nMedian = 12, 1st Quartile = 1, 3rd Quartile = 500",
       y = "Dosage Unit [ug/L]")

print(pesticide_dosage_violin_plot)

# ggsave(here("figures", "pesticide_dosage_violin_plot.pdf"), plot = pesticide_dosage_violin_plot, width = 10, height = 5, units = "cm", scale = 2, dpi = 800)
# ggsave(here("figures", "pesticide_dosage_violin_plot.jpg"), plot = pesticide_dosage_violin_plot, width = 10, height = 5, units = "cm", scale = 2, dpi = 800)
```

## *Figure s7*
A box and violin plot the distribution of durations of pesticide exposure 
```{r}
# making durations consistent for duration comparisons
data_duration <- data %>% 
  filter(!is.na(duration), duration != "not reported") %>%
  mutate(duration = as.numeric(duration),
         duration_unit = as.character(duration_unit),
           duration_unit_consistent = case_when(
          duration_unit == "minutes" ~ "hours",
          duration_unit == "days" ~ "hours",
          duration_unit == "weeks" ~ "hours",
           TRUE ~ duration_unit),
 duration_convert = case_when(
    duration_unit == "minutes" ~ duration/ 60, 
    duration_unit == "days" ~ duration*24, 
    duration_unit == "weeks" ~ duration*168,
    TRUE ~ duration))

summary(data_duration$duration_convert)

# Create the violin plot 
pesticide_duration_violin_plot <- ggplot(data_duration, aes(y = duration_unit_consistent, x = duration_convert)) +
  geom_violin(fill = RColorBrewer::brewer.pal(n = 8, name = "Set2")[1], alpha = 0.4, color = NA, trim = FALSE) +
  geom_boxplot(width = 0.1, fill = "white", color = RColorBrewer::brewer.pal(n = 8, name = "Set2")[2], outlier.shape = NA) +
  geom_jitter(width = 0.3, height = 0.09, color = RColorBrewer::brewer.pal(n = 8, name = "Set2")[1], alpha = 0.8) +
  theme_bw() +
  theme(legend.position = "none",
        plot.title = element_text(face = "bold", hjust = 0.5),
        axis.title.x = element_blank(),
        axis.title.y = element_text(face = "bold"),
        axis.text.x = element_text(color = "black"),
        axis.text.y = element_blank(),
        axis.ticks = element_line(color = "black"),
        plot.caption = element_text(size = 10, color = "gray10", face = "italic")) +
  labs(caption = "Median = 336, 1st Quartile = 96, 3rd Quartile = 960",
       y = "Duration [hours]")

print(pesticide_duration_violin_plot)

# ggsave(here("figures", "pesticide_duration_violin_plot.pdf"), plot = pesticide_duration_violin_plot, width = 10, height = 5, units = "cm", scale = 2, dpi = 800)
# ggsave(here("figures", "pesticide_duration_violin_plot.jpg"), plot = pesticide_duration_violin_plot, width = 10, height = 5, units = "cm", scale = 2, dpi = 800)
```

## *Figure s8*
A bar plot showing the control solvents used in the literature
```{r,fig.width=10, fig.height=5}
# Group data by 'control solvent' and count entries, then drop the group structure for further analysis.
solvent_summary <- data %>% 
  group_by(control_solvent) %>% 
  summarise(n = n(), .groups = "drop")

# Calculate the proportion and percentage of total studies for each control solvent.
solvent_pct <- solvent_summary %>% 
  mutate(proportion = n / sum(n), 
         percentage = proportion * 100)

# Create a bar plot visualizing the number of studies per control solvent, annotated with counts and percentages.
control_solvent_study_count_bar_plot <- solvent_summary %>%
  ggplot(aes(x = n, y = reorder(str_to_title(control_solvent), n))) + 
  geom_bar(stat = "identity", width = 0.8, alpha = 0.5, fill = RColorBrewer::brewer.pal(n = 8, name = "Dark2")[3]) +
  geom_text(aes(label = n, x = n / 2, y = reorder(str_to_title(control_solvent), n)), hjust = 0.5, size = 4, color = "black") +
  geom_text(data = solvent_pct, aes(label = paste0("(", round(percentage, 1), "%)"), x = n),
            hjust = -0.1, size = 4, color = "black", fontface = "bold") +
  scale_x_continuous(expand = c(0, 0), limits = c(0, max(solvent_summary$n) * 1.3)) +
  theme_bw() +
  guides(size = "none") +
  theme(legend.position = "none",
        axis.text = element_text(color = "black"),
        axis.title = element_text(face = "bold", color = "black"),
        plot.caption = element_text(size = 10, color = "gray10", face = "italic")) +
  labs(caption = "The value in each bar is the total number of studies",
       x = "Total number of studies",
       y = "Control Solvent") +
  scale_y_discrete(labels = function(x) ifelse(x == "Dmso", toupper(x), ifelse(x == "Dtnb", toupper(x), x)))

print(control_solvent_study_count_bar_plot)

# ggsave(here("figures", "control_solvent_study_count_bar_plot.pdf"), width = 10, height = 5, units = "cm", scale = 2, dpi = 800)
# ggsave(here("figures", "control_solvent_study_count_bar_plot.jpg"), width = 10, height = 5, units = "cm", scale = 2, dpi = 800)
```

## *Figure s9*
A bar plot showing the behavioural assays used to quantify sociality in the literature
```{r,fig.width=10, fig.height=5}
# Filter data for entries containing "sociality" in behaviour_measure_standardised
sociality_data <- data %>% 
  filter(grepl("sociality", behaviour_measured_standardised, ignore.case = TRUE))

# Group data by behavioural_assay_standardized and count occurrences
sociality_assay_summary <- sociality_data %>% 
  group_by(behavioural_assay_standardised) %>%
  summarise(n = n(), .groups = "drop")

# Calculate proportion of effect sizes for each control solvent
sociality_assay_pct <- sociality_assay_summary %>% 
  mutate(proportion = n / sum(n), 
         percentage = proportion * 100)

# Create a bar plot visualizing the number of studies quantifying pesticide impacts on aggression
sociality_assay_effect_size_count_bar_plot <- sociality_assay_summary %>%
  ggplot(aes(x = n, y = reorder(str_to_title(behavioural_assay_standardised), n))) +
  geom_bar(stat = "identity", width = 0.8, alpha = 0.5, fill = RColorBrewer::brewer.pal(n = 8, name = "Dark2")[5]) +
  geom_text(aes(label = ifelse(n < 0, "", n), x = n / 2, y = reorder(str_to_title(behavioural_assay_standardised), n)), 
            hjust = 0.5, size = 4, color = "black") +
  geom_text(data = sociality_assay_pct, aes(label = paste0("(", round(percentage, 1), "%)"), x = n),
            hjust = -0.1, size = 4, color = "black", fontface = "bold") +
  scale_x_continuous(expand = c(0, 0), limits = c(0, max(sociality_assay_summary$n) * 1.3)) +
  theme_bw() +
  guides(size = "none") +
  theme(legend.position = "none",
        axis.text = element_text(color = "black"),
        axis.title = element_text(face = "bold", color = "black"),
        plot.caption = element_text(size = 10, color = "gray10", face = "italic")) +
  labs(caption = "The value in each bar is the total number of effect sizes",
       x = "Total Number of Effect Sizes",
       y = "Sociality Assay")

print(sociality_assay_effect_size_count_bar_plot)

# ggsave(here("figures", "sociality_assay_effect_size_count_bar_plot.pdf"), width = 10, height = 5, units = "cm", scale = 2, dpi = 800)
# ggsave(here("figures", "sociality_assay_effect_size_count_bar_plot.jpg"), width = 10, height = 5, units = "cm", scale = 2, dpi = 800)
```

## *Figure s10*
A bar plot showing the behavioural assays used to quantify aggression in the literature
```{r,fig.width=10, fig.height=5}
# Filter data for entries containing "aggression" in behaviour_measure_standardised
aggression_data <- data %>% 
  filter(grepl("aggression", behaviour_measured_standardised, ignore.case = TRUE))

# Group data by behavioural_assay_standardised and count occurrences
aggression_assay_summary <- aggression_data %>% 
  group_by(behavioural_assay_standardised) %>%
  summarise(n = n(), .groups = "drop")

# Calculate proportion of effect sizes for each behavioural assay
aggression_assay_pct <- aggression_assay_summary %>% 
  mutate(proportion = n / sum(n), 
         percentage = proportion * 100)

# Create a bar plot visualizing the number of studies quantifying pesticide impacts on aggression, annotated with counts and percentages.
aggression_assay_effect_size_count_bar_plot <- aggression_assay_summary %>%
  ggplot(aes(x = n, y = reorder(str_to_title(behavioural_assay_standardised), n))) +
  geom_bar(stat = "identity", width = 0.8, alpha = 0.5, fill = RColorBrewer::brewer.pal(n = 8, name = "Dark2")[6]) +
  geom_text(aes(label = ifelse(n < 0, "", n), x = n / 2, y = reorder(str_to_title(behavioural_assay_standardised), n)), 
            hjust = 0.5, size = 4, color = "black") +
  geom_text(data = aggression_assay_pct, aes(label = paste0("(", round(percentage, 1), "%)"), x = n),
            hjust = -0.1, size = 4, color = "black", fontface = "bold") +
  scale_x_continuous(expand = c(0, 0), limits = c(0, max(aggression_assay_summary$n) * 1.3)) +
  theme_bw() +
  guides(size = "none") +
  theme(legend.position = "none",
        axis.text = element_text(color = "black"),
        axis.title = element_text(face = "bold", color = "black"),
        plot.caption = element_text(size = 10, color = "gray10", face = "italic")) +
  labs(caption = "The value in each bar is the total number of effect sizes",
       x = "Total Number of Effect Sizes",
       y = "Aggression Assay")

print(aggression_assay_effect_size_count_bar_plot)

# ggsave(here("figures", "aggression_assay_effect_size_count_bar_plot.pdf"), width = 10, height = 5, units = "cm", scale = 2, dpi = 800)
# ggsave(here("figures", "aggression_assay_effect_size_count_bar_plot.jpg"), width = 10, height = 5, units = "cm", scale = 2, dpi = 800)
```

## *Figure s11*
A bar plot showing the behavioural assays used to quantify courtship in the literature
```{r,fig.width=10, fig.height=5}
# Filter data for entries containing "courtship" in behaviour_measure_standardised
courtship_data <- data %>% 
  filter(grepl("courtship", behaviour_measured_standardised, ignore.case = TRUE))

# Group data by behavioural_assay_standardised and count occurrences
courtship_assay_summary <- courtship_data %>% 
  group_by(behavioural_assay_standardised) %>%
  summarise(n = n(), .groups = "drop")

# Calculate proportion of effect sizes for each behavioural assay
courtship_assay_pct <- courtship_assay_summary %>% 
  mutate(proportion = n / sum(n), # Adjust total number of observations
         percentage = proportion * 100)

# Create a bar plot visualizing the number of studies quantifying pesticide impacts on courtship, annotated with counts and percentages.
courtship_assay_effect_size_count_bar_plot <- courtship_assay_summary %>%
  ggplot(aes(x = n, y = reorder(str_to_title(behavioural_assay_standardised), n))) +
  geom_bar(stat = "identity", width = 0.8, alpha = 0.5, fill = RColorBrewer::brewer.pal(n = 8, name = "Dark2")[7]) +
  geom_text(aes(label = ifelse(n < 0, "", n), x = n / 2, y = reorder(str_to_title(behavioural_assay_standardised), n)), 
            hjust = 0.5, size = 4, color = "black") +
  geom_text(data = courtship_assay_pct, aes(label = paste0("(", round(percentage, 1), "%)"), x = n),
            hjust = -0.1, size = 4, color = "black", fontface = "bold") +
  scale_x_continuous(expand = c(0, 0), limits = c(0, max(courtship_assay_summary$n) * 1.3)) +
  theme_bw() +
  guides(size = "none") +
  theme(legend.position = "none",
        axis.text = element_text(color = "black"),
        axis.title = element_text(face = "bold", color = "black"),
        plot.caption = element_text(size = 10, color = "gray10", face = "italic")) +
  labs(caption = "The value in each bar is the total number of effect sizes",
       x = "Total Number of Effect Sizes",
       y = "Courtship Assay")

print(courtship_assay_effect_size_count_bar_plot)

# ggsave(here("figures", "courtship_assay_effect_size_count_bar_plot.pdf"), width = 10, height = 5, units = "cm", scale = 2, dpi = 800)
# ggsave(here("figures", "courtship_assay_effect_size_count_bar_plot.jpg"), width = 10, height = 5, units = "cm", scale = 2, dpi = 800)
```

## *Figure s12*
A bar plot showing the behavioural assays used to quantify collective behaviour (i.e., behaviours measure at collective level) in the literature
```{r,fig.width=10, fig.height=5}
# Filter data for entries containing "collective behaviour" in behaviour_measure_standardised
collective_behaviour_data <- data %>% 
  filter(grepl("collective behaviour", behaviour_measured_standardised, ignore.case = TRUE))

# Group data by behavioural_assay_standardised and count occurrences
collective_behaviour_assay_summary <- collective_behaviour_data %>% 
  group_by(behavioural_assay_standardised) %>%
  summarise(n = n(), .groups = "drop")

# Calculate proportion of effect sizes for each behavioural assay
collective_behaviour_assay_pct <- collective_behaviour_assay_summary %>% 
  mutate(proportion = n / sum(n), # Adjust total number of observations
         percentage = proportion * 100)

# Create a bar plot visualizing the number of studies quantifying pesticide impacts on collective behaviour, annotated with counts and percentages.
collective_behaviour_assay_effect_size_count_bar_plot <- collective_behaviour_assay_summary %>%
  ggplot(aes(x = n, y = reorder(str_to_sentence(behavioural_assay_standardised), n))) +
  geom_bar(stat = "identity", width = 0.8, alpha = 0.5, fill = RColorBrewer::brewer.pal(n = 8, name = "Dark2")[8]) +
  geom_text(aes(label = ifelse(n < 9, "", n), x = n / 2, y = reorder(str_to_sentence(behavioural_assay_standardised), n)), 
            hjust = 0.5, size = 4, color = "black") +
  geom_text(data = collective_behaviour_assay_pct, aes(label = paste0("(", round(percentage, 1), "%)"), x = n),
            hjust = -0.1, size = 4, color = "black", fontface = "bold") +
  scale_x_continuous(expand = c(0, 0), limits = c(0, max(collective_behaviour_assay_summary$n) * 1.3)) +
  theme_bw() +
  guides(size = "none") +
  theme(legend.position = "none",
        axis.text = element_text(color = "black"),
        axis.title = element_text(face = "bold", color = "black"),
        plot.caption = element_text(size = 10, color = "gray10", face = "italic")) +
  labs(caption = "The value in each bar is the total number of effect sizes",
       x = "Total Number of Effect Sizes",
       y = "Collective Behaviour Assay")

print(collective_behaviour_assay_effect_size_count_bar_plot)

# ggsave(here("figures", "collective_behaviour_assay_effect_size_count_bar_plot.pdf"), width = 10, height = 5, units = "cm", scale = 2, dpi = 800)
# ggsave(here("figures", "collective_behaviour_assay_effect_size_count_bar_plot.jpg"), width = 10, height = 5, units = "cm", scale = 2, dpi = 800)
```

## *Figure s13*
Visual representation of the characteristics of the primary studies included in the dataset. The vertical bars indicate key categorical variables. The widths of the vertical bars indicate the numbers of effect sizes represented by each level of the categorical variable. The flow lines between vertical bars indicate the connections and overlaps of different levels of the categorical variables. 
```{r}
# Select relevant columns and replace NA values with "Not Reported"
data_sankey <- data %>%
  select(c(behaviour_measured_standardised, 
           behavioural_assay_standardised2, 
           pesticide_chemical_class, 
           control_solvent, 
           species_english, 
           sex, 
           source)) %>%
  mutate(across(c(behaviour_measured_standardised, 
                  behavioural_assay_standardised2, 
                  pesticide_chemical_class,
                  control_solvent, 
                  species_english, 
                  sex, 
                  source), 
                ~ replace_na(., "Not Reported")))

# Transform data into a long format for the Sankey plot
sankey_df <- data_sankey %>%
  ggsankey::make_long(behaviour_measured_standardised, 
                      behavioural_assay_standardised2, 
                      pesticide_chemical_class,
                      control_solvent, 
                      species_english, 
                      sex, 
                      source)

# Create the Sankey plot
ggplot(sankey_df, aes(x = x, next_x = next_x, 
                      node = node, 
                      next_node = next_node, 
                      fill = factor(node), 
                      label = node)) +
  geom_sankey(flow.alpha = .6, node.color = "gray30") +
  geom_sankey_label(size = 3, color = "white", fill = "gray40") +
  scale_fill_viridis_d() +
  scale_x_discrete(labels = c("Behaviour Measured", "Assay Type", "Pesticide Class", 
                              "Control Solvent", "Species", "Sex", "Source"), 
                   position = "top") +
  theme_sankey(base_size = 10) +
  labs(x = NULL) +
  theme(legend.position = "none",
        plot.title = element_text(hjust = .5),
        axis.text.x = element_text(color = "black", size = 9))


# ggsave(here("figures", "sankey_plot.pdf"), width = 10, height = 5, units = "cm", scale = 2, dpi = 800)
# ggsave(here("figures", "sankey_plot.jpg"), width = 10, height = 5, units = "cm", scale = 2, dpi = 800)

```

# **Calculate effect size estimates & dependency**
## *Find SD/Mean ratio*
A bar plot showing the SD/Mean ratio of the control and treatment groups in each primary study
```{r}
sd_mean_ratio <- data %>%
  mutate(
    control_sd = as.numeric(control_sd),
    treatment_sd = as.numeric(treatment_sd)
  ) %>%
  group_by(study_id) %>%
  mutate(
    within_study_control_mean = mean(control_mean, na.rm = TRUE),
    within_study_treatment_mean = mean(treatment_mean, na.rm = TRUE),
    within_study_control_sd = mean(control_sd, na.rm = TRUE),
    within_study_treatment_sd = mean(treatment_sd, na.rm = TRUE),
    sd_mean_ratio_control = within_study_control_sd / within_study_control_mean,
    sd_mean_ratio_treatment = within_study_treatment_sd / within_study_treatment_mean
  )

sd_mean_ratio_bar_plot <- sd_mean_ratio %>% 
  ggplot() + 
  geom_histogram(aes(x = sd_mean_ratio_control), fill = "blue", alpha = 0.4) + 
  geom_histogram(aes(x = sd_mean_ratio_treatment), fill = "red", alpha = 0.4) +
  scale_x_continuous(expand = c(0, 0)) +
  scale_y_continuous(expand = c(0, 0)) +
  theme_bw() +
  guides(size = "none") +
  theme(
    legend.position = "none",
    axis.text = element_text(color = "black"),
    axis.title = element_text(face = "bold", color = "black"),
    plot.caption = element_text(size = 10, color = "gray10", face = "italic")
  ) +
  labs(
    caption = "Red = Control, Blue = Treatment, Purple = Both",
    x = "SD/Mean Ratio",
    y = "Frequency"
  )

print(sd_mean_ratio_bar_plot)

# ggsave(here("figures", "sd_mean_ratio_bar_plot.pdf"), plot = sd_mean_ratio_bar_plot, width = 10, height = 5, units = "cm", scale = 2, dpi = 800)
# ggsave(here("figures", "sd_mean_ratio_bar_plot.jpg"), plot = sd_mean_ratio_bar_plot, width = 10, height = 5, units = "cm", scale = 2, dpi = 800)

```

## *Impute missing standard deviations & plot*
We imputed the missing standard deviations using the formula provided in section 13.1 (p. 199) of the Handbook of Meta-analysis in Ecology and Evolution (Koricheva, Gurevitch, and Mengersen, 2013).

To ensure consistency in treatments subjected to repeated stepwise multiple comparisons (i.e., the same data used multiple times to calculate different effect sizes), we maintained the same imputed standard deviations (or standard errors) for the repeated data.

```{r}
# Indicate which individuals are used in more than one control or treatment to calculate sampling variances of non-independent observations differently. 
data_shared_indiv <- group_by(data, exp_id ) %>% 
  summarise(number_treatment= n())
data <- left_join(data, data_shared_indiv, by = "exp_id")


# Calculate the within and between study impacts of pesticides on fish social behaviour
data <- data %>% 
  group_by(study_id) %>% 
  mutate(
    control_sd = as.numeric(control_sd),
    treatment_sd = as.numeric(treatment_sd)) %>%
  group_by(study_id) %>%
  mutate(
    within_study_control_mean = mean(control_mean, na.rm = TRUE),
    within_study_treatment_mean = mean(treatment_mean, na.rm = TRUE),
    within_study_control_sd = mean(control_sd, na.rm = TRUE),
    within_study_treatment_sd = mean(treatment_sd, na.rm = TRUE),
    sd_mean_ratio_control = within_study_control_sd / within_study_control_mean,
    sd_mean_ratio_treatment = within_study_treatment_sd / within_study_treatment_mean) %>% 
  ungroup() %>% 
  mutate(between_study_control_mean=mean(within_study_control_mean, na.rm=T),  
         between_study_treatment_mean=mean(within_study_treatment_mean, na.rm=T),
         between_study_control_sd=mean(within_study_control_sd, na.rm=T), 
         between_study_treatment_sd=mean(within_study_treatment_sd, na.rm=T)) 


# label missing location
data$control_sd_report <- ifelse(is.na(data$control_sd),"Yes","No")
data$treatment_sd_report <- ifelse(is.na(data$treatment_sd),"Yes","No")

data %>% select(control_sd, treatment_sd) %>% impute_missingness() # Missing SD == 3.9%, 36 imputations needed 

data <- as.data.frame(data) # convert into dataframe
data <- impute_SD(data, 
                       columnSDnames = c("control_sd", "treatment_sd"), 
                       columnXnames = c("control_mean", "treatment_mean"), 
                       method = "Bracken1992")


# Convert sd columns to log10 and create a combined dataframe for plotting
data_long <- data %>%
  mutate(log_control_sd = log10(control_sd),
         log_treatment_sd = log10(treatment_sd)) %>%
  pivot_longer(cols = c(log_control_sd, log_treatment_sd), 
               names_to = "type", 
               values_to = "log_sd") %>%
  mutate(reported = ifelse(type == "log_control_sd", control_sd_report, treatment_sd_report))

# Create the plot
imputed_sd_plot <- ggplot(data_long, aes(x = factor(study_id), y = log_sd, color = control_sd_report)) +
  geom_point(size = 2, alpha = 0.5) +
  scale_color_manual(values = RColorBrewer::brewer.pal(n = 8, name = "Dark2")[c(1, 2)]) +
  theme_bw() +
  theme(
    legend.position = "none", 
    axis.text = element_text(color = "black"),
    axis.title = element_text(face = "bold", color = "black"),
    plot.caption = element_text(size = 10, color = "gray10", face = "italic"),
    axis.text.x = element_text(angle = 90, hjust = 1, vjust = 0.5) 
  ) +
  labs(
    caption = "Points with 'red' indicate missing standard deviations that were imputed",
    x = "Study ID",
    y = "Log10(SD Value)"  )

# Print the plot
print(imputed_sd_plot)

# ggsave(here("figures", "imputed_sd_plot.pdf"), plot = imputed_sd_plot, width = 10, height = 5, units = "cm", scale = 2, dpi = 800)
# ggsave(here("figures", "imputed_sd_plot.jpg"), plot = imputed_sd_plot, width = 10, height = 5, units = "cm", scale = 2, dpi = 800)

```

## *Calculate effect sizes and sampling variances*
```{r}
# Make sure all data is numeric 
data <- data  %>%
  mutate(
    treatment_mean = as.numeric(treatment_mean),
    treatment_sd = as.numeric(treatment_sd),
    treatment_n = as.numeric(treatment_n),
    control_mean = as.numeric(control_mean),
    control_sd = as.numeric(control_sd),
    control_n = as.numeric(control_n)
  )
# Calculate log response ratio (lnRR)
lnRR <- escalc(measure = "ROM", 
               m1i = treatment_mean, sd1i = treatment_sd, n1i = treatment_n, 
               m2i = control_mean, sd2i = control_sd, n2i = control_n, 
               data = data)

# Calculate log coefficient variation ratio (lnCVR)
lnCVR <- escalc(measure = "CVR", 
               m1i = treatment_mean, sd1i = treatment_sd, n1i = treatment_n, 
               m2i = control_mean, sd2i = control_sd, n2i = control_n, 
               data = data)

# Calculate the standardised mean difference for sensitivity analysis
SMD <- escalc(measure = "SMD", 
               m1i = treatment_mean, sd1i = treatment_sd, n1i = treatment_n, 
               m2i = control_mean, sd2i = control_sd, n2i = control_n, 
               data = data)

# Calculate log variation ratio (lnVR)
lnVR <- escalc(measure = "VR", 
               m1i = treatment_mean, sd1i = treatment_sd, n1i = treatment_n, 
               m2i = control_mean, sd2i = control_sd, n2i = control_n, 
               data = data)

# Summary statistics of effect size estimates
effect_size_summaries <- list(
  lnRR = summary(lnRR$yi),
  lnCVR = summary(lnCVR$yi),
  SMD = summary(SMD$yi),
  VR = summary(lnVR$yi)
)

# Summary statistics of sampling variances
sampling_variance_summaries <- list(
  lnRR = summary(lnRR$vi),
  lnCVR = summary(lnCVR$vi),
  SMD = summary(SMD$vi),
  VR = summary(lnVR$vi)
)

# Calculate precision for each effect size estimate with checks
lnRR$precision <- ifelse(lnRR$vi > 0, 1 / sqrt(lnRR$vi), NA)
lnCVR$precision <- ifelse(lnCVR$vi > 0, 1 / sqrt(lnCVR$vi), NA)
SMD$precision <- ifelse(SMD$vi > 0, 1 / sqrt(SMD$vi), NA)
lnVR$precision <- ifelse(lnVR$vi > 0, 1 / sqrt(lnVR$vi), NA)

# Merge each of the effect size with precision
effect_size_metrics_set <- data.frame(
  lnRR = lnRR$yi, lnRRv = lnRR$vi, lnRR_precision = lnRR$precision,
  lnVR = lnVR$yi, lnVRv = lnVR$vi, lnVR_precision = lnVR$precision,
  lnCVR = lnCVR$yi, lnCVRv = lnCVR$vi, lnCVR_precision = lnCVR$precision,
  SMD = SMD$yi, SMDv = SMD$vi, SMD_precision = SMD$precision,
  control_imputed = data$control_sd_report, treatment_imputed = data$treatment_sd_report)

 # Bind the effect size metrics set to the main data
data <- cbind(data, effect_size_metrics_set)

# Check if `effect_direction` is "change" and not NA, then multiply `lnRR` by -1; otherwise, keep original `lnRR`
data$lnRR <- ifelse(!is.na(data$effect_direction) & data$effect_direction == "change", 
                    -1 * data$lnRR, 
                    data$lnRR)

# Select specific columns including the new precision columns
effect_size_metrics_set_kable <- data[, which(colnames(data) %in% c(
  "study_id", "exp_id", "assay_id", "species_english", "pesticide", "behaviour_assay","effect_direction",
  "lnRR", "lnRRv", "lnRR_precision", 
  "lnCVR", "lnCVRv", "lnCVR_precision", 
  "lnVR", "lnVRv", "lnVR_precision", 
  "SMD", "SMDv", "SMD_precision", 
  "control_imputed", "treatment_imputed"
))] %>% dfround(digits = 3)

# Table of the effect sizes
 kable(effect_size_metrics_set_kable, "html") %>%
    kable_styling("bordered", position = "left") %>%
    scroll_box(width = "250%", height = "800px")

# Plot the distribution of effect size estimates (lnRR)
lnRR_dist_plot <- effect_size_metrics_set_kable %>%
  ggplot(aes(lnRR)) +
  geom_histogram(fill = RColorBrewer::brewer.pal(n = 8, name = "Set2")[2], col = "black", binwidth = 0.1, alpha = 0.4) +
  theme_bw() +
  theme(legend.position = "none",
        plot.title = element_text(face = "bold", hjust = 0.5),
        axis.title.x = element_text(face = "bold"),
        axis.title.y = element_text(face = "bold"),
        axis.text.x = element_text(color = "black"),
        axis.text.y = element_text(color = "black"),
        axis.ticks = element_line(color = "black"),
        plot.caption = element_text(size = 10, color = "gray10", face = "italic")) +
  labs(caption = "Distribution of Effect Size Estimates (lnRR)",
       x = "lnRR",
       y = "Frequency")

print(lnRR_dist_plot)

# ggsave(here("figures", "lnRR_dist_plot.pdf"), plot = lnRR_dist_plot, width = 10, height = 5, units = "cm", scale = 2, dpi = 800)
# ggsave(here("figures", "lnRR_dist_plot.jpg"),  plot = lnRR_dist_plot, width = 10, height = 5, units = "cm", scale = 2, dpi = 800)

 # Plot the distribution of effect size estimates (lnVR)
lnVR_dist_plot <- effect_size_metrics_set_kable %>%
  ggplot(aes(lnCVR)) +
  geom_histogram(fill = RColorBrewer::brewer.pal(n = 8, name = "Set2")[3], col = "black", binwidth = 0.1, alpha = 0.4) +
  theme_bw() +
  theme(legend.position = "none",
        plot.title = element_text(face = "bold", hjust = 0.5),
        axis.title.x = element_text(face = "bold"),
        axis.title.y = element_text(face = "bold"),
        axis.text.x = element_text(color = "black"),
        axis.text.y = element_text(color = "black"),
        axis.ticks = element_line(color = "black"),
        plot.caption = element_text(size = 10, color = "gray10", face = "italic")) +
  labs(caption = "Distribution of Effect Size Estimates (lnVR)",
       x = "lnVR",
       y = "Frequency")

print(lnVR_dist_plot)

# ggsave(here("figures", "lnVR_dist_plot.pdf"), plot = lnVR_dist_plot, width = 10, height = 5, units = "cm", scale = 2, dpi = 800)
# ggsave(here("figures", "lnVR_dist_plot.jpg"),  plot = lnVR_dist_plot, width = 10, height = 5, units = "cm", scale = 2, dpi = 800)
```

## *Dependent effect size estimates*
### *Create phylogentic tree*
We used the *rotl* package (https://peerj.com/preprints/1471/) to retrieve synthetic species tree from Open Tree of Life (https://opentreeoflife.org/). 
```{r}
data <- as.data.frame(data)

data$species_latin = as.factor(data$species_latin)

taxa <- tnrs_match_names(names = levels(data$species_latin), context = "Animals")  # Match species names to the Open Tree of Life taxonomy

kable(taxa)  # Display matched species, ensuring each species has a unique match in the Open Tree of Life

taxa$unique_name <- gsub(" ", "_", taxa$unique_name)  # Replace spaces in species names with underscores

phylo_tree <- tol_induced_subtree(ott_ids = taxa$ott_id, label_format = "name")  # Generate a phylogenetic tree based on the Open Tree of Life taxonomy

ott_in_tree <- ott_id(taxa)[is_in_tree(ott_id(taxa))]  # Ensure all identifiers are present in the taxonomy

phylo_tree <- tol_induced_subtree(ott_ids = ott_in_tree)  # Generate a phylogenetic tree including all species present in the taxonomy

is.binary(phylo_tree)  # Check if tree is binary 


# Plot for the phylogenetic tree
plot(phylo_tree,
     cex= 1, #font size
     label.offset =.1,
     no.margin = TRUE)

# Compute branch length
phylo_branched <- compute.brlen(phylo_tree, method = "Grafen", power = 1)  # compute branch lengths using Grafen's method

phylo_branched$tip.label <- strip_ott_ids(phylo_branched$tip.label, remove_underscores = FALSE)  # remove ott ID from species name to match it to the data set

phylo_matrix <- vcv(phylo_branched, cor = T)  # Generate variance covariance matrix to correlate species relatedness 

data <- as.data.frame(data)

# Convert species_latin to lowercase
data <- mutate(data, search_string = tolower(species_latin))

data <- left_join(data, select(taxa, search_string, unique_name, ott_id), by = "search_string")  # Join data sets

data <- data[data$unique_name %in% phylo_branched$tip.label, ]  # Check that species names are well matched with the phylogenetic tree


data$phylogeny <- data$unique_name  # Rename 'unique_name' to 'phylogeny' for the models


```

## *Variance covariance matrices*
To account for the dependency of effect sizes estimates due to being in the same exposure group (cohort) we constructed a series of vcv matrices.
```{r}
#------------------------------lnRR------------------------------#
data<- data[!is.na(data$lnRRv),] 

lnRRVCV <- metafor::vcalc(vi = lnRRv, cluster = exp_id, obs = assay_id, data = data, rho = 0.5)

lnRRVCV2 <- metafor::vcalc(vi = lnRRv, cluster = exp2_id, obs = assay_id, data = data, rho = 0.5) 

#------------------------------lnVR------------------------------#
data <- data[!is.na(data$lnVRv),]

lnVRVCV <- metafor::vcalc(vi = lnVRv, cluster = exp_id, obs = assay_id, data = data, rho = 0.5)

lnVRVCV2 <- metafor::vcalc(vi = lnVRv, cluster = exp2_id, obs = assay2_id, data = data, rho = 0.5) 

```

# **Selection of random-effect structure**

Select the "most appropriate" structure for the subsequent statistical modelling.

The potential random effect were:

- 1) Observation (*assay_id*) - A unique id for each pairwise comparison for effect size calculation

- 2) Cohort (*exp_id*) - A unique id for each exposure group in each primary study

- 3) Study (*study_id*) - A unique id for each included primary study

- 4) Pesticide  (*pesticide*) - Each pesticide used in the primary study

- 5) Species (*species*) - Each species used in the primary study

- 6) Phylogeny (*phylogeny*) - The phylogenetic relatedness for each species in the primary studies

We start from fitting a null model without including the above random effects candidates as the default reduced model, and build upon more complex models by adding random-effects a candidate one time. We use the likelihood ratio test to compare the quality of two nested models in terms of information criteria indices (AIC, BIC, AICc). 

## Null model with no random effects (lnRR)
```{r}
# fit a null model as default model
null_mod_lnRR <- rma.mv(yi = lnRR, 
                        V = lnRRVCV, 
                        method = "ML", 
                        test = "t", 
                        data = data, 
                        sparse = TRUE ) # Use ML to compare information criteria

summary(null_mod_lnRR)

```

## Add *assay_id* as a random effect and compare with the null model (lnRR)
```{r}
mod_lnRR.assay_id <- rma.mv(yi = lnRR, 
                            V = lnRRVCV,
                            random =  ~1 | assay_id,
                            method = "ML", 
                            test = "t", 
                            data = data, 
                            sparse = T)

summary(mod_lnRR.assay_id)

anova(null_mod_lnRR,mod_lnRR.assay_id)
```

## Add *study_id* as a random effect to the above better model (that used *obs_ID* a random effect) (lnRR)
```{r}
mod_lnRR.assay_id.study_id <- rma.mv(yi = lnRR,
                                     V = lnRRVCV,
                                     random = list(~1 | study_id, 
                                                   ~1 | assay_id),
                                     method = "ML",
                                     test = "t", 
                                     data = data, 
                                     sparse = T)

summary(mod_lnRR.assay_id.study_id)

anova(mod_lnRR.assay_id,mod_lnRR.assay_id.study_id)

```

## Add *exp_id* as a random effect to the above model (that used *assay_id* and *study_id* as random effets) (lnRR)
```{r}
mod_lnRR.assay_id.study_id.exp_id <- rma.mv(yi = lnRR,
                                            V = lnRRVCV,
                                            random = list(~1 | study_id,
                                                          ~1 | exp_id,
                                                          ~1 | assay_id),
                                            method = "ML",
                                            test = "t", 
                                            data = data,
                                            sparse = T)

summary(mod_lnRR.assay_id.study_id.exp_id)

anova(mod_lnRR.assay_id.study_id,mod_lnRR.assay_id.study_id.exp_id)

```

## Add *species* as a random effect to the better model (that used *assay_id* and *study_id* as random effets) (lnRR)
```{r}
mod_lnRR.assay_id.study_id.species <- rma.mv(yi = lnRR,
                                             V = lnRRVCV,
                                             random = list(~1 | study_id, 
                                                           ~1 | assay_id,
                                                           ~1 | species_latin),
                                             method = "ML",
                                             test = "t", 
                                             data = data,
                                             sparse = T)

summary(mod_lnRR.assay_id.study_id.species)

anova(mod_lnRR.assay_id.study_id,mod_lnRR.assay_id.study_id.species)

i2_ml(mod_lnRR.assay_id.study_id.species)
```

## Add *phylogeny* as a random effect to the better model (that used *assay_id* , *study_id* and *species* as random effects) (lnRR)
```{r}
mod_lnRR.assay_id.study_id.species.phylogeny <- rma.mv(yi = lnRR,
                                                       V = lnRRVCV,
                                                       random = list(~1 | study_id,
                                                                     ~1 | assay_id,
                                                                     ~1 | species_latin,
                                                                     ~1 | phylogeny),
                                                       method = "ML",
                                                       test = "t", 
                                                       data = data, 
                                                       sparse = T,
                                                       R = list(phylogeny = phylo_matrix))

summary(mod_lnRR.assay_id.study_id.species.phylogeny)

fitstats(mod_lnRR.assay_id.study_id.species, mod_lnRR.assay_id.study_id.species.phylogeny)

i2_ml(mod_lnRR.assay_id.study_id.species.phylogeny)
```

## Add *pesticide* as a random effect to the above model (that used *assay_id* , *study_id*, *species* and *phylogeny* as random effects) (lnRR)
```{r}
mod_lnRR.assay_id.study_id.species.pesticide <- rma.mv(yi = lnRR,
                                                       V = lnRRVCV,
                                                       random = list(~1 | study_id,
                                                                     ~1 | assay_id,
                                                                     ~1 | species_latin,
                                                                     ~1 | pesticide),
                                                       method = "ML",
                                                       test = "t", 
                                                       data = data, 
                                                       sparse = T)

summary(mod_lnRR.assay_id.study_id.species.pesticide)

anova(mod_lnRR.assay_id.study_id.species, mod_lnRR.assay_id.study_id.species.pesticide)

i2_ml(mod_lnRR.assay_id.study_id.species.pesticide)
```

## Null model with no random effects (lnVR)
```{r}
# fit a null model as default model
null_mod_lnVR <- rma.mv(yi = lnVR, 
                         V = lnVRVCV, 
                         method = "ML", 
                         test = "t", 
                         data = data, 
                         sparse = TRUE ) 

summary(null_mod_lnVR)

```

## Add *assay_id* as a random effect and compare with the null model (lnVR)
```{r}
mod_lnVR.assay_id <- rma.mv(yi = lnVR, 
                             V = lnVRVCV,
                             random =  ~1 | assay_id,
                             method = "ML", 
                             test = "t", 
                             data = data, 
                             sparse = T)

summary(mod_lnVR.assay_id)

anova(null_mod_lnVR, mod_lnVR.assay_id)

```

## Add *study_id* as a random effect to the above better model (that used *assay_id* a random effect) (lnVR)
```{r}
mod_lnVR.assay_id.study_id <- rma.mv(yi = lnVR,
                                      V = lnVRVCV,
                                      random = list(~1 | study_id, 
                                                    ~1 | assay_id),
                                      method = "ML",
                                      test = "t", 
                                      data = data, 
                                      sparse = T)

summary(mod_lnVR.assay_id.study_id)

anova(mod_lnVR.assay_id, mod_lnVR.assay_id.study_id)

```

## Add *exp_id* as a random effect to the above better model (that used *assay_id* and *study_id* as random effets) (lnVR)
```{r}
mod_lnVR.assay_id.study_id.exp_id <- rma.mv(yi = lnVR,
                                             V = lnVRVCV,
                                             random = list(~1 | study_id,
                                                           ~1 | exp_id,
                                                           ~1 | assay_id),
                                             method = "ML",
                                             test = "t", 
                                             data = data,
                                             sparse = T)

summary(mod_lnVR.assay_id.study_id.exp_id)

anova(mod_lnVR.assay_id.study_id, mod_lnVR.assay_id.study_id.exp_id)

```

## Add *species* as a random effect to the above better model (that used *assay_id* and *study_id* as random effets) (lnVR)
```{r}
mod_lnVR.assay_id.study_id.species <- rma.mv(yi = lnVR,
                                              V = lnVRVCV,
                                              random = list(~1 | study_id, 
                                                            ~1 | assay_id,
                                                            ~1 | species_latin),
                                              method = "ML",
                                              test = "t", 
                                              data = data,
                                              sparse = T)

summary(mod_lnVR.assay_id.study_id.species)

anova(mod_lnVR.assay_id.study_id, mod_lnVR.assay_id.study_id.species)

```

## Add *phylogeny* as a random effect to the above better model (that used *assay_id* , *study_id* and *species* as random effects) (lnVR)
```{r}
mod_lnVR.assay_id.study_id.species.phylogeny <- rma.mv(yi = lnVR,
                                                        V = lnVRVCV,
                                                        random = list(~1 | study_id,
                                                                      ~1 | assay_id,
                                                                      ~1 | species_latin,
                                                                      ~1 | phylogeny),
                                                        method = "ML",
                                                        test = "t", 
                                                        data = data, 
                                                        sparse = T,
                                                        R = list(phylogeny = phylo_matrix))

summary(mod_lnVR.assay_id.study_id.species.phylogeny)

anova(mod_lnVR.assay_id.study_id.species, mod_lnVR.assay_id.study_id.species.phylogeny)

```

## Add *pesticide* as a random effect to the above better model (that used *assay_id* , *study_id*, *species* and *phylogeny* as random effects) (lnVR)
```{r}
mod_lnVR.assay_id.study_id.species.phylogeny.pesticide <- rma.mv(yi = lnCVR,
                                                                  V = lnCVRVCV,
                                                                  random = list(~1 | study_id,
                                                                                ~1 | assay_id,
                                                                                ~1 | species_latin,
                                                                                ~1 | phylogeny,
                                                                                ~1 | pesticide),
                                                                  method = "ML",
                                                                  test = "t", 
                                                                  data = data, 
                                                                  sparse = T,
                                                                  R = list(phylogeny = phylo_matrix))

summary(mod_lnVR.assay_id.study_id.species.phylogeny.pesticide)

```

# **Intercept only meta-analysis models**

## *Intercept only model (lnRR)*
```{r}
# Model
lnRR_intercept_only <- rma.mv(yi = lnRR,
                              V = lnRRVCV,
                              random = list(~1 | study_id,
                                            ~1 | assay_id,
                                            ~1 | species_latin,
                                            ~1 | pesticide,
                                            ~1 | phylogeny),
                              method = "REML",
                              test = "t", 
                              data = data,
                              sparse = T,
                              R = list(phylogeny = phylo_matrix))

# Summary statistics 
summary(lnRR_intercept_only)

mod_results(lnRR_intercept_only, mod = "1", data = data, group = "study_id")  # For prediction intervals

i2_ml(lnRR_intercept_only)

# Given point estimate of lnRR
lnRR_point <- -0.2669

# Calculate the percentage change
lnRR_percentage_change <- (1 - exp(lnRR_point)) * 100
lnRR_percentage_change

```

## *Intercept only model (lnVR)*
```{r}
# Model
lnVR_intercept_only <- rma.mv(yi = lnVR,
                               V = lnVRVCV,
                               random = list(~1 | study_id,
                                            ~1 | assay_id,
                                            ~1 | species_latin,
                                            ~1 | pesticide,
                                            ~1 | phylogeny),
                              method = "REML",
                              test = "t", 
                              data = data,
                              sparse = T,
                              R = list(phylogeny = phylo_matrix))
                              
  


# Summary statistics 
summary(lnVR_intercept_only)

mod_results(lnVR_intercept_only, mod = "1", data = data, group = "study_id")  
i2_ml(lnVR_intercept_only)

# Given point estimate of lnRR
lnVR_point <- -0.0728

# Calculate the percentage change
lnVR_percentage_change <- (1 - exp(lnVR_point)) * 100
lnVR_percentage_change

```

## *Figure 2*
Impacts of pesticide exposure on fish conspecific interactions. The model estimates the average effects of pesticide exposure on conspecific interactions in fish. (A) shows the mean difference between control and treatment groups on a logarithmic scale, where negative values indicate a reduction in conspecific behavioural activity. (B) shows the difference in variances between control and treatment groups, also on a logarithmic scale, where negative values suggest a reduction in the inter-individual variability of conspecific behavioural activity. Shorter whiskers represent 95% confidence intervals, while longer whiskers indicate 95% prediction intervals. 'k' represents the number of effect sizes, and the number of studies is in brackets. Each circle corresponds to an effect size, with its size scaled according to precision (inverse sampling error variance).
```{r}
# Figure 2a)
intercept_only.lnRR_orchard <- orchaRd::orchard_plot(lnRR_intercept_only,
             group = "study_id",
             xlab = "lnRR",
             data = data,
             g = TRUE,
             k.pos = "right",
             colour = FALSE,
             fill = TRUE,  
             trunk.size = 3., 
             legend.pos = "none",
             branch.size = 1.5,
             twig.size = 1) +
    scale_fill_manual(values = RColorBrewer::brewer.pal(8, "Dark2")[1]) +
  scale_x_discrete(labels = c("Model estimates")) 

# Figure 2b)
intercept_only.lnVR__orchard <- orchaRd::orchard_plot(lnVR_intercept_only,
             group = "study_id",
             xlab = "lnVR",
             data = data,
             g = TRUE,
             k.pos = "right",
             colour = FALSE,
             fill = TRUE,  
             trunk.size = 3., 
             legend.pos = "none",
             branch.size = 1.5,
             twig.size = 1) +
    scale_fill_manual(values = RColorBrewer::brewer.pal(8, "Dark2")[2]) +
  scale_x_discrete(labels = c("Model estimates"))

# Combine the two plots 
main_text_figure_2 <- intercept_only.lnRR_orchard + intercept_only.lnVR__orchard + plot_annotation(tag_levels = "A")

print(main_text_figure_2)

# ggsave(here("figures", "main_text_figure_2.jpg"), width = 24, height = 10, units = "cm", dpi = 800)
# ggsave(here("figures", "main_text_figure_2.pdf"), width = 24, height = 10, units = "cm", dpi = 800)
```

# **Single moderator meta-regression**

## *Behaviour characteristics*                        

###  *Moderating effects of behaviour type (lnRR)*
```{r}
# Model
lnRR_mod_behaviour_class <- rma.mv(yi = lnRR,
                               V = lnRRVCV,
                               random = list(~1 | study_id,
                                             ~1 | assay_id,
                                             ~1 | species_latin,
                                             ~1 | pesticide),
                               mods = ~behaviour_measured_standardised -1,
                               method = "REML",
                               test = "t", 
                               data = data,
                               sparse = T)


# Summary results
summary(lnRR_mod_behaviour_class)

mod_results(lnRR_mod_behaviour_class, mod = "behaviour_measured_standardised", data = data, group = "study_id")  

r2_ml(lnRR_mod_behaviour_class)

# Give point estimate of lnRR
courtship_lnRR_point <- -0.4280

# Calculate the percentage change
courtship_lnRR_percentage_change <- (1 - exp(courtship_lnRR_point)) * 100
courtship_lnRR_percentage_change

```

###  *Moderating effects of behaviour type (lnVR)*
```{r}
# Model
lnVR_mod_behaviour_class <- rma.mv(yi = lnVR,
                               V = lnVRVCV,
                               random = list(~1 | study_id,
                                             ~1 | assay_id,
                                             ~1 | species_latin,
                                             ~1 | pesticide),
                               mods = ~behaviour_measured_standardised -1,
                               method = "REML",
                               test = "t", 
                               data = data,
                               sparse = T)

# Summary statistics
summary(lnVR_mod_behaviour_class)

mod_results(lnVR_mod_behaviour_class, mod = "behaviour_measured_standardised", data = data, group = "study_id")  

r2_ml(lnVR_mod_behaviour_class)

```

### *Moderate by assay (lnRR)*
```{r}
# Model
lnRR_mod_assay <- rma.mv(yi = lnRR,
                          V = lnRRVCV,
                          random = list(~1 | study_id,
                                             ~1 | assay_id,
                                             ~1 | species_latin,
                                             ~1 | pesticide),
                          mods = ~behavioural_assay_standardised2 -1,
                          method = "REML",
                          test = "t", 
                          data = data,
                          sparse = T)

summary(lnRR_mod_assay)

r2_ml(lnRR_mod_assay)

# Model contrast 
lnRR_mod_assay_contrast <- rma.mv(yi = lnRR,
                          V = lnRRVCV,
                          random = list(~1 | study_id,
                                        ~1 | assay_id,
                                        ~1 | species_latin,
                                        ~1 | pesticide),
                          mods = ~behavioural_assay_standardised2 ,
                          method = "REML",
                          test = "t", 
                          data = data,
                          sparse = T)

summary(lnRR_mod_assay_contrast)

```

### *Moderate by assay (lnVR)*
```{r}
# Model
lnVR_mod_assay <- rma.mv(yi = lnVR,
                          V = lnVRVCV,
                          random = list(~1 | study_id,
                                        ~1 | assay_id,
                                        ~1 | species_latin,
                                        ~1 | pesticide),
                          mods = ~behavioural_assay_standardised2 -1,
                          method = "REML",
                          test = "t", 
                          data = data,
                          sparse = T)

summary(lnVR_mod_assay)

r2_ml(lnVR_mod_assay)


# Model contrast 
lnVR_mod_assay_contrast <- rma.mv(yi = lnVR,
                          V = lnVRVCV,
                          random = list(~1 | study_id,
                                        ~1 | assay_id,
                                        ~1 | species_latin,
                                        ~1 | pesticide),
                          mods = ~behavioural_assay_standardised2 ,
                          method = "REML",
                          test = "t", 
                          data = data,
                          sparse = T)

summary(lnVR_mod_assay_contrast)

```

### *Figure 3*
```{r}
# Figure 3a)
behav_mod_orchard.lnRR <- orchaRd::orchard_plot(lnRR_mod_behaviour_class,
             group = "study_id", 
             xlab = "lnRR",
             data = data,
             mod = "behaviour_measured_standardised",
             g = TRUE,
             k.pos = "right",
             colour = FALSE,
             fill = TRUE,  
             legend.pos = "none",
             trunk.size = 3., 
             branch.size = 1.5,
             twig.size = 1,
             angle = 45) +
    scale_fill_manual(values = RColorBrewer::brewer.pal(8, "Dark2")) +
    plot_annotation(tag_levels = "A")

# Figure 3b)
behav_mod_orchard.lnVR <- orchaRd::orchard_plot(lnVR_mod_behaviour_class,
             group = "study_id", 
             xlab = "lnVR",
             mod = "behaviour_measured_standardised",
             data = data,
             g = TRUE,
             k.pos = "right",
             colour = FALSE,
             fill = TRUE,  
             legend.pos = "none",
             trunk.size = 3., 
             branch.size = 1.5,
             twig.size = 1,
             angle = 45) +
    scale_fill_manual(values = RColorBrewer::brewer.pal(8, "Dark2")) +
    theme(axis.text.y = element_blank()) + 
    plot_annotation(tag_levels = "B")

# Figure 3c)
assay_mod_orchard.lnRR <- orchaRd::orchard_plot(lnRR_mod_assay_contrast,
             group = "study_id", 
             xlab = "lnRR",
             data = data,
             mod = "behavioural_assay_standardised2",
             g = TRUE,
             k.pos = "right",
             colour = FALSE,
             fill = TRUE,  
             legend.pos = "none",
             trunk.size = 3., 
             branch.size = 1.5,
             twig.size = 1,
             angle = 45) +
    scale_fill_manual(values = RColorBrewer::brewer.pal(8, "Dark2")) +
    plot_annotation(tag_levels = "C")

# Figure 3d)
assay_mod_orchard.lnVR <- orchaRd::orchard_plot(lnVR_mod_assay_contrast,
             group = "study_id", 
             xlab = "lnVR",
             data = data,
             mod = "behavioural_assay_standardised2",
             g = TRUE,
             k.pos = "right",
             colour = FALSE,
             fill = TRUE,  
             legend.pos = "none",
             trunk.size = 3., 
             branch.size = 1.5,
             twig.size = 1,
             angle = 45) +
    scale_fill_manual(values = RColorBrewer::brewer.pal(8, "Dark2")) +
    theme(axis.text.y = element_blank()) +
    plot_annotation(tag_levels = "D")


main_text_figure_3 <- (behav_mod_orchard.lnRR + behav_mod_orchard.lnVR) / (assay_mod_orchard.lnRR + assay_mod_orchard.lnVR) + plot_annotation(tag_levels = "A")

print(main_text_figure_3)

# ggsave(here("figures", "main_text_figure_3.jpg"), plot = main_text_figure_3, width = 28, height = 24, units = "cm", dpi = 800)
# ggsave(here("figures", "main_text_figure_3.pdf"),plot = main_text_figure_3, width = 28, height = 24, units = "cm", dpi = 800)
```

## *Pesticide characteristics*

### *Moderate by pesticide chemical class (lnRR)*
```{r}
# Model
lnRR_mod_pesticide <- rma.mv(yi = lnRR,
                              V = lnRRVCV,
                              random = list(~1 | study_id,
                                             ~1 | assay_id,
                                             ~1 | species_latin,
                                             ~1 | pesticide),
                              mods = ~pesticide_chemical_class -1,
                              method = "REML",
                              test = "t", 
                              data = data,
                              sparse = T)

# Summary results
summary(lnRR_mod_pesticide)

lnRR_pesticide_mod_results <- mod_results(lnRR_mod_pesticide, mod = "pesticide_chemical_class", data = data, group = "study_id") 

r2_ml(lnRR_mod_pesticide)

```

### *Moderate by pesticide chemical class (lnVR)*
```{r}
# Model
lnVR_mod_pesticide <- rma.mv(yi = lnVR,
                              V = lnVRVCV,
                              random = list(~1 | study_id,
                                             ~1 | assay_id,
                                             ~1 | species_latin,
                                             ~1 | pesticide),
                              mods = ~pesticide_chemical_class -1,
                              method = "REML",
                              test = "t", 
                              data = data,
                              sparse = T)

# Summary results
summary(lnVR_mod_pesticide)

lnVR_pesticide_mod_results <- mod_results(lnVR_mod_pesticide, mod = "pesticide_chemical_class", data = data, group = "study_id")  

r2_ml(lnVR_mod_pesticide)

```

### *Figure s18*
The moderating effects of pesticide chemical class on (A) response magnitude and (B) response variability in conspecific interactions. Shorter whiskers represent 95% confidence intervals, while longer whiskers indicate 95% prediction intervals. 'k' represents the number of effect sizes, and the number of studies is in brackets. Each circle corresponds to an effect size, with its size scaled according to precision (inverse sampling error variance).
```{r}
# Figure s18A
pesticide_all_mod_orchard.lnRR <- orchaRd::orchard_plot(lnRR_mod_pesticide,
             group = "study_id", 
             xlab = "lnRR",
             data = data,
             mod = "pesticide_chemical_class",
             g = TRUE,
             k.pos = "right",
             colour = FALSE,
             fill = TRUE,  
             legend.pos = "none",
             trunk.size = 3., 
             branch.size = 1.5,
             twig.size = 1,
             angle = 45) 

# Figure s18B
pesticide_all_mod_orchard.lnVR <- orchaRd::orchard_plot(lnVR_mod_pesticide,
             group = "study_id", 
             xlab = "lnVR",
             data = data,
             mod = "pesticide_chemical_class",
             g = TRUE,
             k.pos = "right",
             colour = FALSE,
             fill = TRUE,  
             legend.pos = "none",
             trunk.size = 3., 
             branch.size = 1.5,
             twig.size = 1,
             angle = 45) +
    theme(axis.text.y = element_blank())


pesticide_all_mod_orchard <- pesticide_all_mod_orchard.lnRR + pesticide_all_mod_orchard.lnVR

print(pesticide_all_mod_orchard)

# ggsave(here("figures", "pesticide_all_mod_orchard.jpg"), plot = pesticide_all_mod_orchard, width = 30, height = 18, units = "cm", dpi = 800)
# ggsave(here("figures", "pesticide_all_mod_orchard.pdf"),plot = pesticide_all_mod_orchard, width = 30, height = 18, units = "cm", dpi = 800)

```

### *Moderate by concentration of pesticide (lnRR)*
```{r}
# Create dataframe for model with consistent dosage units
data_dosage_model <- data %>% 
  filter(dosage != "not reported") %>% 
filter(dosage_unit != "not reported") %>% 
filter(!dosage_unit %in% c("nm", "um", "nM")) %>%
  mutate(dosage = as.numeric(dosage),
         dosage_unit = as.character(dosage_unit),
         dosage_unit_consistent = case_when(
           dosage_unit == "mg/L" ~ "ug/L", 
           dosage_unit == "ng/L" ~ "ug/L",
           dosage_unit == "g/L" ~ "ug/L",
           dosage_unit == "ppb" ~ "ug/L", 
           dosage_unit == "ppm" ~ "ug/L", 
           TRUE ~ dosage_unit),
         dosage_convert_ugL = case_when(
           dosage_unit == "mg/L" ~ dosage * 1000,
           dosage_unit == "ng/L" ~ dosage / 1000,
           dosage_unit == "g/L" ~ dosage/1000000,
           dosage_unit == "ppm" ~ dosage*1000, 
           TRUE ~ dosage)) %>% 
   filter(!is.na(dosage_convert_ugL)) %>% 
    mutate(log_dosage_convert_ugL = log(dosage_convert_ugL)) 

# Recalculate the VCV matrix based on the new data frame 
lnRRVCV_dosage <- metafor::vcalc(vi = lnRRv, cluster = exp_id, obs = assay_id, data = data_dosage_model, rho = 0.5)

# Model
lnRR_mod_dosage <- rma.mv(yi = lnRR,
                               V = lnRRVCV_dosage,
                               random = list(~1 | study_id,
                                             ~1 | assay_id,
                                             ~1 | species_latin,
                                             ~1 | pesticide),
                               mods = ~log_dosage_convert_ugL -1,
                               method = "REML",
                               test = "t", 
                               data = data_dosage_model,
                               sparse = T)

# Summary results 
summary(lnRR_mod_dosage)

dosage_mod_lnRR_results <- mod_results(lnRR_mod_dosage, mod = "log_dosage_convert_ugL", data = data_dosage_model, group = "study_id")  

r2_lnRR_dosage <- r2_ml(lnRR_mod_dosage, data_dosage_model)

```

### *Moderate by concentration of pesticide (lnVR)*
```{r}
# Recalculate the VCV matrix based on the new data frame 
lnVRVCV_dosage <- metafor::vcalc(vi = lnVRv, cluster = exp_id, obs = assay_id, data = data_dosage_model, rho = 0.5)

## Model
lnVR_mod_dosage <- rma.mv(yi = lnVR,
                               V = lnVRVCV_dosage,
                               random = list(~1 | study_id,
                                             ~1 | assay_id,
                                             ~1 | species_latin,
                                             ~1 | pesticide),
                               mods = ~log_dosage_convert_ugL -1,
                               method = "REML",
                               test = "t", 
                               data = data_dosage_model,
                               sparse = T)

# Summary results
summary(lnVR_mod_dosage)

dosage_mod_lnVR_results <- mod_results(lnVR_mod_dosage, mod = "log_dosage_convert_ugL", data = data_dosage_model, group = "study_id") 

r2_lnVR_dosage <- r2_ml(lnVR_mod_dosage, data_dosage_model)

```

### *Moderate by duration of pesticide (lnRR)*
```{r}
# Create dataframe for model with consistent duration units
data_duration_model <- data %>% 
  filter(!is.na(duration), duration != "not reported") %>%
  mutate(duration = as.numeric(duration),
         duration_unit = as.character(duration_unit),
           duration_unit_consistent = case_when(
          duration_unit == "minutes" ~ "hours",
          duration_unit == "days" ~ "hours",
          duration_unit == "weeks" ~ "hours",
           TRUE ~ duration_unit),
 duration_convert = case_when(
    duration_unit == "minutes" ~ duration/ 60, 
    duration_unit == "days" ~ duration*24, 
    duration_unit == "weeks" ~ duration*168,
    TRUE ~ duration))


# Recalculate the VCV matrix based on the new data frame 
lnRRVCV_duration <- metafor::vcalc(vi = lnRRv, cluster = exp_id, obs = assay_id, data = data_duration_model, rho = 0.5)

# Model
lnRR_mod_duration <- rma.mv(yi = lnRR,
                               V = lnRRVCV_duration,
                               random = list(~1 | study_id,
                                             ~1 | assay_id,
                                             ~1 | species_latin,
                                             ~1 | pesticide),
                               mods = ~duration_convert -1,
                               method = "REML",
                               test = "t", 
                               data = data_duration_model,
                               sparse = T)


# Summary results
summary(lnRR_mod_duration)

duration_mod_lnRR_results <- mod_results(lnRR_mod_duration, mod = "duration_convert", data = data_duration_model, group = "study_id") 

r2_lnRR_duration <- r2_ml(lnRR_mod_duration, data_duration_model)

```

### *Moderate by duration of pesticide (lnVR)* 
```{r}
# Recalculate the VCV matrix based on the new data frame 
lnVRVCV_duration <- metafor::vcalc(vi = lnVRv, cluster = exp_id, obs = assay_id, data = data_duration_model, rho = 0.5)

## Model
lnVR_mod_duration <- rma.mv(yi = lnVR,
                               V = lnVRVCV_duration,
                               random = list(~1 | study_id,
                                             ~1 | assay_id,
                                             ~1 | species_latin,
                                             ~1 | pesticide),
                               mods = ~log(duration_convert) -1,
                               method = "REML",
                               test = "t", 
                               data =data_duration_model ,
                               sparse = T)

# Summary results
summary(lnVR_mod_duration)

lnVR_mod_duration_results <- mod_results(lnVR_mod_duration, mod = "duration_convert", data = data_duration_model, group = "study_id") 

r2_lnVR_duration <- r2_ml(lnVR_mod_duration, data_duration_model)

```

### *Moderate by control solvent used (lnRR)*
```{r}
# Model
lnRR_mod_solvent <- rma.mv(yi = lnRR,
                        V = lnRRVCV,
                        random = list(~1 | study_id,
                                             ~1 | assay_id,
                                             ~1 | species_latin,
                                             ~1 | pesticide),
                        mods = ~control_solvent -1,
                        method = "REML",
                        test = "t", 
                        data = data,
                        sparse = T)
# Summary results
summary(lnRR_mod_solvent)

mod_results(lnRR_mod_solvent, mod = "control_solvent", data = data, group = "study_id")  # For prediction intervals

r2_ml(lnRR_mod_solvent)

# Model
lnRR_mod_solvent2 <- rma.mv(yi = lnRR,
                        V = lnRRVCV,
                        random = list(~1 | study_id,
                                             ~1 | assay_id,
                                             ~1 | species_latin,
                                             ~1 | pesticide),
                        mods = ~solvent2 -1,
                        method = "REML",
                        test = "t", 
                        data = data,
                        sparse = T)
# Summary results
summary(lnRR_mod_solvent2)

mod_results(lnRR_mod_solvent2, mod = "solvent2", data = data, group = "study_id")  # For prediction intervals

r2_ml(lnRR_mod_solvent2)

# Contrast Model
lnRR_mod_solvent2_contrast <- rma.mv(yi = lnRR,
                        V = lnRRVCV,
                        random = list(~1 | study_id,
                                             ~1 | assay_id,
                                             ~1 | species_latin,
                                             ~1 | pesticide),
                        mods = ~solvent2 ,
                        method = "REML",
                        test = "t", 
                        data = data,
                        sparse = T)
# Summary results
summary(lnRR_mod_solvent2_contrast)

mod_results(lnRR_mod_solvent2_contrast, mod = "solvent2", data = data, group = "study_id") 

```

### *Moderate by control solvent used (lnVR)*
```{r}
# Model
lnVR_mod_solvent <- rma.mv(yi = lnVR,
                              V = lnVRVCV,
                              random = list(~1 | study_id,
                                             ~1 | assay_id,
                                             ~1 | species_latin,
                                             ~1 | pesticide),
                              mods = ~control_solvent -1,
                              method = "REML",
                              test = "t", 
                              data = data,
                              sparse = T)

# Summary results
summary(lnVR_mod_solvent)

mod_results(lnVR_mod_solvent, mod = "control_solvent", data = data, group = "study_id")  

r2_ml(lnVR_mod_solvent)

# Model
lnVR_mod_solvent2 <- rma.mv(yi = lnVR,
                        V = lnVRVCV,
                        random = list(~1 | study_id,
                                             ~1 | assay_id,
                                             ~1 | species_latin,
                                             ~1 | pesticide),
                        mods = ~solvent2 -1,
                        method = "REML",
                        test = "t", 
                        data = data,
                        sparse = T)
# Summary results
summary(lnVR_mod_solvent2)

mod_results(lnVR_mod_solvent2, mod = "solvent2", data = data, group = "study_id")  

r2_ml(lnVR_mod_solvent2)

# Model
lnVR_mod_solvent2_contrast <- rma.mv(yi = lnVR,
                        V = lnVRVCV,
                        random = list(~1 | study_id,
                                             ~1 | assay_id,
                                             ~1 | species_latin,
                                             ~1 | pesticide),
                        mods = ~solvent2 ,
                        method = "REML",
                        test = "t", 
                        data = data,
                        sparse = T)

# Summary results
summary(lnVR_mod_solvent2_contrast)

mod_results(lnVR_mod_solvent2_contrast, mod = "solvent2", data = data, group = "study_id")  

r2_ml(lnVR_mod_solvent2_contrast)

```

### *Main text Figure 4*
```{r}
# Filter the mod_table for specific pesticide chemical classes
lnRR_pesticide_mod_results_filter <- dplyr::filter(
  lnRR_pesticide_mod_results$mod_table,
    name == "Triazole" |
    name == "Triazine" |
    name == "Pyrethroid" |
    name == "Organophosphate" |
    name == "Organochlorine" 
)

# Filter the data for the same pesticide chemical classes
lnRR_pesticide_data_filter <- dplyr::filter(
  lnRR_pesticide_mod_results$data,
    moderator == "Triazole" |
    moderator == "Triazine" |
    moderator == "Pyrethroid" |
    moderator == "Organophosphate" |
    moderator == "Organochlorine" 
)

# Create the lnRR_pesticide_orchard object
lnRR_pesticide_orchard2 <- list(
  mod_table = lnRR_pesticide_mod_results_filter,
  data = lnRR_pesticide_data_filter
)

# Assign the appropriate classes to the object
class(lnRR_pesticide_orchard2) <- c("orchard", "data.frame")

# Filter the mod_table for lnVR_pesticide_mod_results
lnVR_pesticide_mod_results_filter <- dplyr::filter(
  lnVR_pesticide_mod_results$mod_table,
    name == "Triazole" |
    name == "Triazine" |
    name == "Pyrethroid" |
    name == "Organophosphate" |
    name == "Organochlorine" 
)

# Filter the data for lnVR_pesticide_mod_results
lnVR_pesticide_data_filter <- dplyr::filter(
  lnVR_pesticide_mod_results$data,
    moderator == "Triazole" |
    moderator == "Triazine" |
    moderator == "Pyrethroid" |
    moderator == "Organophosphate" |
    moderator == "Organochlorine" 
)

# Create the lnVR_pesticide_orchard object
lnVR_pesticide_orchard2 <- list(
  mod_table = lnVR_pesticide_mod_results_filter,
  data = lnVR_pesticide_data_filter
)
class(lnVR_pesticide_orchard2) <- c("orchard", "data.frame")

```

```{r}
# Figure 4a)
pesticide.mod.lnRR <- orchaRd::orchard_plot(lnRR_pesticide_orchard2,
                      group = "study_id", 
                      xlab = "lnRR",
                      data = data,
                      mod = "pesticide_chemical_class",
                      k.pos = "right",
                      colour = FALSE,
                      fill = TRUE,  
                      legend.pos = "none",
                      trunk.size = 3, 
                      branch.size = 1.5,
                      twig.size = 1,
                      angle = 45) +
  scale_fill_manual(values = c(RColorBrewer::brewer.pal(8, "Dark2")))

# Figure 4b)
pesticide.mod.lnVR <- orchaRd::orchard_plot(lnVR_pesticide_orchard2,
             group = "study_id", 
             xlab = "lnVR",
             data = data,
             mod = "pesticide_chemical_class",
             k.pos = "right",
             colour = FALSE,
             fill = TRUE,  
             legend.pos = "none",
             trunk.size = 3, 
             branch.size = 1.5,
             twig.size = 1,
             angle = 45) +
  scale_fill_manual(values = c(RColorBrewer::brewer.pal(8, "Dark2"))) +
  theme(axis.text.y = element_blank()) 

# Figure 4c)
dosage_bubble_plot.lnRR <- bubble_plot(dosage_mod_lnRR_results, mod = "log_dosage_convert_ugL", group = "study_id", data = data_dosage_model, x = "dosage_convert_ugL",
    y = "lnRR", est.lwd = 1, legend.pos = "bottom.right", k.pos = "bottom.left",
    ci.col = "red", pi.col = "black", est.col = "black", g = TRUE) + annotate(geom = "text",
    x = 7, y = 5.8, label = paste0("italic(R)^{2} == ", round(r2_lnRR_dosage[1], 4)), color = "black",
    parse = TRUE, size = 4)  + 
  ggtitle("") + 
  theme(plot.title = element_text(size = 18),
    legend.position = "none", axis.title.x = element_text(size = 16), axis.title.y = element_text(size = 16),
    axis.text.y = element_text(size = 14), axis.text.x = element_text(size = 14)) +
    xlab("Dosage")

# Figure 4d)
dosage_bubble_plot.lnVR <- bubble_plot(dosage_mod_lnVR_results, mod = "log_dosage_convert_ugL", group = "study_id", data = data_dosage_model, x = "dosage_convert_ugL",
    y = "lnVR", est.lwd = 1, legend.pos = "bottom.right", k.pos = "bottom.left",
    ci.col = "red", pi.col = "black", est.col = "black", g = TRUE) + annotate(geom = "text",
    x = 7, y = 5.8, label = paste0("italic(R)^{2} == ", round(r2_lnVR_dosage[1], 4)), color = "black",
    parse = TRUE, size = 4)  + 
  ggtitle("") + 
  theme(plot.title = element_text(size = 18),
    legend.position = "none", axis.title.x = element_text(size = 16), axis.title.y = element_text(size = 16),
    axis.text.y = element_text(size = 14), axis.text.x = element_text(size = 14)) +
    xlab("Dosage")

# Figure 4e)
duration_bubble_plot.lnRR <- bubble_plot(duration_mod_lnRR_results, mod = "duration_convert", group = "study_id", data = data_duration_model, x = "duration_convert",
    y = "lnRR", est.lwd = 1, legend.pos = "bottom.right", k.pos = "bottom.left",
    ci.col = "red", pi.col = "black", est.col = "black", g = TRUE) +  annotate(geom = "text", x =2800, y =1.3, 
           label = paste0("italic(R)^{2} == ", round(r2_lnRR_duration[1], 4)), color = "black",
           parse = TRUE, size = 4)  + 
  ggtitle("") + 
  theme(plot.title = element_text(size = 18),
    legend.position = "none", axis.title.x = element_text(size = 16), axis.title.y = element_text(size = 16),
    axis.text.y = element_text(size = 14), axis.text.x = element_text(size = 14)) +
    xlab("Duration")

# Figure 4f)
duration_bubble_plot.lnVR <- bubble_plot(lnVR_mod_duration_results, mod = "duration_convert", group = "study_id", data = data_duration_model, x = "duration_convert",
    y = "lnVR", est.lwd = 1, legend.pos = "bottom.right", k.pos = "bottom.left",
    ci.col = "red", pi.col = "black", est.col = "black", g = TRUE) + 
  annotate(geom = "text",x =2800, y =2.1, 
           label = paste0("italic(R)^{2} == ", round(r2_lnVR_duration[1], 4)), color = "black",
           parse = TRUE, size = 4)  + 
  ggtitle("") + 
  theme(plot.title = element_text(size = 18),
    legend.position = "none", axis.title.x = element_text(size = 16), axis.title.y = element_text(size = 16),
    axis.text.y = element_text(size = 14), axis.text.x = element_text(size = 14)) +
    xlab("Duration")

# Figure 4g)
solvent.mod.lnRR2 <- orchaRd::orchard_plot(lnRR_mod_solvent2,
             group = "study_id", 
             xlab = "lnRR",
             data = data,
             mod = "solvent2",
             k.pos = "right",
             colour = FALSE,
             fill = TRUE,  
             legend.pos = "none",
             trunk.size = 3, 
             branch.size = 1.5,
             twig.size = 1,
             angle = 45) +
  scale_fill_manual(values = c(RColorBrewer::brewer.pal(8, "Dark2"), 
                               "#66C2A5", "#FC8D62", "#8DA0CB", "#E78AC3", "#A6D854")) 

# Figure 4h)
solvent.mod.lnVR2 <- orchaRd::orchard_plot(lnVR_mod_solvent2,
             group = "study_id", 
             xlab = "lnVR",
             data = data,
             mod = "solvent2",
             k.pos = "right",
             colour = FALSE,
             fill = TRUE,  
             legend.pos = "none",
             trunk.size = 3, 
             branch.size = 1.5,
             twig.size = 1,
             angle = 45) +
  scale_fill_manual(values = c(RColorBrewer::brewer.pal(8, "Dark2"), 
                               "#66C2A5", "#FC8D62", "#8DA0CB", "#E78AC3", "#A6D854")) +
  theme(axis.text.y = element_blank()) 

main_text_figure_4 <- (pesticide.mod.lnRR + pesticide.mod.lnVR)/ (dosage_bubble_plot.lnRR + dosage_bubble_plot.lnVR) / (duration_bubble_plot.lnRR + duration_bubble_plot.lnVR)/ (solvent.mod.lnRR2 + solvent.mod.lnVR2) +   plot_annotation(tag_levels = "A")

print(main_text_figure_4)

# ggsave(here("figures", "main_text_figure_4.jpg"),width = 28, height = 40, units = "cm", dpi = 800)
# ggsave(here("figures", "main_text_figure_4.pdf"),width = 28, height = 40, units = "cm", dpi = 800)
 
```

## **Species characteristics**

### *Moderate by species (lnRR)*
```{r}
# Model
lnRR_mod_species <- rma.mv(yi = lnRR,
                               V = lnRRVCV,
                               random = list(~1 | study_id,
                                             ~1 | assay_id,
                                             ~1 | species_latin,
                                             ~1 | pesticide),
                               mods = ~species_english -1,
                               method = "REML",
                               test = "t", 
                               data = data,
                               sparse = T)

# Summary results
summary(lnRR_mod_species)

r2_ml(lnRR_mod_species)


lnRR_species_mod_results <- mod_results(lnRR_mod_species, mod = "species_english", data = data, group = "study_id")  


```

### *Moderate by species (lnVR)*
```{r}
## ModeL
lnVR_mod_species <- rma.mv(yi = lnVR,
                               V = lnVRVCV,
                               random = list(~1 | study_id,
                                             ~1 | assay_id,
                                             ~1 | species_latin,
                                             ~1 | pesticide),
                               mods = ~species_english -1,
                               method = "REML",
                               test = "t", 
                               data = data,
                               sparse = T)


# Summary results
summary(lnVR_mod_species)

lnVR_species_mod_results <- mod_results(lnVR_mod_species, mod = "species_english", data = data, group = "study_id")

r2_ml(lnVR_mod_species)

```

### *Figure s19*
The moderating effects of species chemical class on (A) response magnitude and (B) response variability in conspecific interactions. Shorter whiskers represent 95% confidence intervals, while longer whiskers indicate 95% prediction intervals. 'k' represents the number of effect sizes, and the number of studies is in brackets. Each circle corresponds to an effect size, with its size scaled according to precision (inverse sampling error variance).
```{r}
# Figure s19A)
species_all_mod_orchard.lnRR <- orchaRd::orchard_plot(lnRR_mod_species,
             group = "study_id", 
             xlab = "lnRR",
             data = data,
             mod = "species_english",
             g = TRUE,
             k.pos = "right",
             colour = FALSE,
             fill = TRUE,  
             legend.pos = "none",
             trunk.size = 3., 
             branch.size = 1.5,
             twig.size = 1,
             angle = 45) 

# Figure s19B)
species_all_mod_orchard.lnVR <- orchaRd::orchard_plot(lnVR_mod_species,
             group = "study_id", 
             xlab = "lnVR",
             data = data,
             mod = "species_english",
             g = TRUE,
             k.pos = "right",
             colour = FALSE,
             fill = TRUE,  
             legend.pos = "none",
             trunk.size = 3., 
             branch.size = 1.5,
             twig.size = 1,
             angle = 45) +
    theme(axis.text.y = element_blank())


species_all_mod_orchard <- species_all_mod_orchard.lnRR + species_all_mod_orchard.lnVR

print(species_all_mod_orchard)

# ggsave(here("figures", "species_all_mod_orchard.jpg"), plot = species_all_mod_orchard, width = 30, height = 18, units = "cm", dpi = 800)
# ggsave(here("figures", "species_all_mod_orchard.pdf"),plot = species_all_mod_orchard, width = 30, height = 18, units = "cm", dpi = 800)

```

### *Moderate by sex (lnRR)*
```{r}
# Model
lnRR_mod_sex <- rma.mv(yi = lnRR,
                        V = lnRRVCV,
                        random = list(~1 | study_id,
                                             ~1 | assay_id,
                                             ~1 | species_latin,
                                             ~1 | pesticide),
                        mods = ~sex - 1,
                        method = "REML",
                        test = "t", 
                        data = data,
                        sparse = T)

# Summary results 
summary(lnRR_mod_sex)

mod_results(lnRR_mod_sex, mod = "sex", data = data, group = "study_id")  # For prediction intervals

r2_ml(lnRR_mod_sex)

data_sex <- data %>% filter(sex == c("male", "female"))

lnRRVCV_sex <- metafor::vcalc(vi = lnRRv, cluster = exp_id, obs = assay_id, data = data_sex, rho = 0.5)

lnRR_mod_sex_contrast <- rma.mv(yi = lnRR,
                        V = lnRRVCV_sex,
                        random = list(~1 | study_id,
                                             ~1 | assay_id,
                                             ~1 | species_latin,
                                             ~1 | pesticide),
                        mods = ~sex ,
                        method = "REML",
                        test = "t", 
                        data = data_sex,
                        sparse = T)


summary(lnRR_mod_sex_contrast)

```

### *Moderate by sex (lnVR)*
```{r}
# Model
lnVR_mod_sex <- rma.mv(yi = lnVR,
                        V = lnVRVCV,
                        random = list(~1 | study_id,
                                             ~1 | assay_id,
                                             ~1 | species_latin,
                                             ~1 | pesticide),
                        mods = ~sex -1,
                        method = "REML",
                        test = "t", 
                        data = data,
                        sparse = T)


# Summary results
summary(lnVR_mod_sex)

mod_results(lnVR_mod_sex, mod = "sex", data = data, group = "study_id")  # For prediction intervals

r2_ml(lnVR_mod_sex)

lnVRVCV_sex <- metafor::vcalc(vi = lnVRv, cluster = exp_id, obs = assay_id, data = data_sex, rho = 0.5)

# Model
lnVR_mod_sex_contrast <- rma.mv(yi = lnVR,
                        V = lnVRVCV_sex,
                        random = list(~1 | study_id,
                                             ~1 | assay_id,
                                             ~1 | species_latin,
                                             ~1 | pesticide),
                        mods = ~sex ,
                        method = "REML",
                        test = "t", 
                        data = data_sex,
                        sparse = T)

summary(lnVR_mod_sex_contrast)

```

### *Moderate by source of fish (lnRR)*
```{r}
data_source <- data %>% filter(source %in% c("wild collected", "commercial supplier"))

lnRRVCV_source <- metafor::vcalc(vi = lnRRv, cluster = exp_id, obs = assay_id, data = data_source, rho = 0.5)

lnVRVCV_source <- metafor::vcalc(vi = lnVRv, cluster = exp_id, obs = assay_id, data = data_source, rho = 0.5)

## ModeL
lnRR_mod_source <- rma.mv(yi = lnRR,
                          V = lnRRVCV,
                          random = list(~1 | study_id,
                                             ~1 | assay_id,
                                             ~1 | species_latin,
                                             ~1 | pesticide),
                          mods = ~source -1,
                          method = "REML",
                          test = "t", 
                          data = data,
                          sparse = T)

# Summary results
summary(lnRR_mod_source)

mod_results(lnRR_mod_source, mod = "source", data = data, group = "study_id")  # For prediction intervals

r2_ml(lnRR_mod_source)

## ModeL
lnRR_mod_source_contrast <- rma.mv(yi = lnRR,
                          V = lnRRVCV_source,
                          random = list(~1 | study_id,
                                             ~1 | assay_id,
                                             ~1 | species_latin,
                                             ~1 | pesticide),
                          mods = ~source ,
                          method = "REML",
                          test = "t", 
                          data = data_source,
                          sparse = T)

summary(lnRR_mod_source_contrast)

```

### *Moderate by source of fish (lnVR)*
```{r}
## Model
lnVR_mod_source <- rma.mv(yi = lnVR,
                           V = lnVRVCV,
                           random = list(~1 | study_id,
                                             ~1 | assay_id,
                                             ~1 | species_latin,
                                             ~1 | pesticide),
                           mods = ~source -1,
                           method = "REML",
                           test = "t", 
                           data = data,
                           sparse = T)

# Summary results
summary(lnVR_mod_source)

mod_results(lnVR_mod_source, mod = "source", data = data, group = "study_id")  # For prediction intervals

r2_ml(lnVR_mod_source)

lnVR_mod_source_contrast <- rma.mv(yi = lnVR,
                                   V = lnVRVCV_source,  
                                   random = list(~1 | study_id,
                                                 ~1 | assay_id,
                                                 ~1 | species_latin,
                                                 ~1 | pesticide),
                                   mods = ~source,
                                   method = "REML",
                                   test = "t", 
                                   data = data_source,
                                   sparse = TRUE)

summary(lnVR_mod_source_contrast)

```

## *Figure 5*
```{r}
# Filter the mod_table for specific pesticide chemical classes
lnRR_species_mod_results_filter <- dplyr::filter(
  lnRR_species_mod_results$mod_table,
  name == "Zebrafish" |
    name == "Sailfin mollie" |
    name == "Marine Medaka" |
    name == "Killifish" |
    name == "Japanese medaka")

# Filter the data for the same pesticide chemical classes
lnRR_species_data_filter <- dplyr::filter(
  lnRR_species_mod_results$data,
 moderator == "Zebrafish" |
    moderator == "Sailfin mollie" |
    moderator == "Marine Medaka" |
    moderator == "Killifish" |
    moderator == "Japanese medaka")

# Create the lnRR_pesticide_orchard object
lnRR_species_orchard <- list(
  mod_table = lnRR_species_mod_results_filter,
  data = lnRR_species_data_filter
)

# Assign the appropriate classes to the object
class(lnRR_species_orchard) <- c("orchard", "data.frame")

# First plot (lnRR_mod_species)
species.mod_orchard.lnRR2 <- orchaRd::orchard_plot(lnRR_mod_species,
             group = "study_id", 
             xlab = "lnRR",
             data = data,
             mod = "species_english",
             k.pos = "right",
             colour = FALSE,
             fill = TRUE,  
             trunk.size = 3, 
             branch.size = 1.5,
             twig.size = 1,
             angle = 45) +
  scale_fill_manual(values = c(RColorBrewer::brewer.pal(8, "Dark2"), 
                               "#66C2A5", "#FC8D62", "#8DA0CB", "#E78AC3", "#A6D854"))

# Filter the mod_table for specific pesticide chemical classes
lnVR_species_mod_results_filter <- dplyr::filter(
  lnVR_species_mod_results$mod_table,
  name == "Zebrafish" |
    name == "Sailfin mollie" |
    name == "Marine Medaka" |
    name == "Killifish" |
    name == "Japanese medaka")

# Filter the data for the same pesticide chemical classes
lnVR_species_data_filter <- dplyr::filter(
  lnVR_species_mod_results$data,
 moderator == "Zebrafish" |
    moderator == "Sailfin mollie" |
    moderator == "Marine Medaka" |
    moderator == "Killifish" |
    moderator == "Japanese medaka")

# Create the lnVR_pesticide_orchard object
lnVR_species_orchard <- list(
  mod_table = lnVR_species_mod_results_filter,
  data = lnVR_species_data_filter
)

# Assign the appropriate classes to the object
class(lnVR_species_orchard) <- c("orchard", "data.frame")

# Second plot (lnVR_mod_species)
species.mod_orchard.lnVR2 <- orchaRd::orchard_plot(lnVR_mod_species,
             group = "study_id", 
             xlab = "lnVR",
             data = data,
             mod = "species_english",
             k.pos = "right",
             colour = FALSE,
             fill = TRUE,  
             trunk.size = 3, 
             branch.size = 1.5,
             twig.size = 1,
             angle = 45) +
  scale_fill_manual(values = c(RColorBrewer::brewer.pal(8, "Dark2"), 
                               "#66C2A5", "#FC8D62", "#8DA0CB", "#E78AC3", "#A6D854")) +
  theme(axis.text.y = element_blank())

```

```{r}
# Figure 5a)
species.mod_orchard.lnRR <- orchaRd::orchard_plot(lnRR_species_orchard,
             group = "study_id", 
             xlab = "lnRR",
             data = data,
             mod = "species_english",
             k.pos = "right",
             colour = FALSE,
             fill = TRUE,  # Set fill to TRUE to match the style
             trunk.size = 3, 
             legend.pos = "none",
             branch.size = 1.5,
             twig.size = 1,
             angle = 45) +
  scale_fill_manual(values = c(RColorBrewer::brewer.pal(8, "Dark2"), 
                               "#66C2A5", "#FC8D62", "#8DA0CB", "#E78AC3", "#A6D854")) 

# Figure 5b)
species.mod_orchard.lnVR <- orchaRd::orchard_plot(lnVR_species_orchard,
             group = "study_id", 
             xlab = "lnVR",
             data = data,
             mod = "species_english",
             k.pos = "right",
             colour = FALSE,
             fill = TRUE,  # Set fill to TRUE to match the style
             trunk.size = 3, 
             legend.pos = "none",
             branch.size = 1.5,
             twig.size = 1,
             angle = 45) +
  scale_fill_manual(values = c(RColorBrewer::brewer.pal(8, "Dark2"), 
                               "#66C2A5", "#FC8D62", "#8DA0CB", "#E78AC3", "#A6D854")) +
  theme(axis.text.y = element_blank())

# Figure 5c)
sex_mod_orchard.lnRR <- orchaRd::orchard_plot(lnRR_mod_sex,
             group = "study_id", 
             xlab = "lnRR",
             data = data,
             mod = "sex",
             k.pos = "right",
             colour = FALSE,
             fill = TRUE,  
             trunk.size = 3, 
             legend.pos = "none",
             branch.size = 1.5,
             twig.size = 1,
             angle = 45) +
  scale_fill_manual(values = c(RColorBrewer::brewer.pal(8, "Dark2"), 
                               "#66C2A5", "#FC8D62", "#8DA0CB", "#E78AC3", "#A6D854")) 

# Figure 5d)
sex_mod_orchard.lnVR <- orchaRd::orchard_plot(lnVR_mod_sex,
             group = "study_id", 
             xlab = "lnVR",
             data = data,
             mod = "sex",
             k.pos = "right",
             colour = FALSE,
             fill = TRUE,  
             trunk.size = 3, 
             legend.pos = "none",
             branch.size = 1.5,
             twig.size = 1,
             angle = 45) +
  scale_fill_manual(values = c(RColorBrewer::brewer.pal(8, "Dark2"), 
                               "#66C2A5", "#FC8D62", "#8DA0CB", "#E78AC3", "#A6D854")) +
  theme(axis.text.y = element_blank())

# Figure 5e)
source_mod_orchard.lnRR <- orchaRd::orchard_plot(lnRR_mod_source_contrast,
             group = "study_id", 
             xlab = "lnRR",
             data = data_source,
             mod = "source",
             k.pos = "right",
             colour = FALSE,
             fill = TRUE,  
             trunk.size = 3, 
             legend.pos = "none",
             branch.size = 1.5,
             twig.size = 1,
             angle = 45) +
  scale_fill_manual(values = c(RColorBrewer::brewer.pal(8, "Dark2"), 
                               "#66C2A5", "#FC8D62", "#8DA0CB", "#E78AC3", "#A6D854")) 

# Figure 5f)
source_mod_orchard.lnVR <- orchaRd::orchard_plot(lnVR_mod_source_contrast,
             group = "study_id", 
             xlab = "lnVR",
             data = data_source,
             mod = "source",
             k.pos = "right",
             colour = FALSE,
             fill = TRUE,  
             legend.pos = "none",
             trunk.size = 3, 
             branch.size = 1.5,
             twig.size = 1,
             angle = 45) +
  scale_fill_manual(values = c(RColorBrewer::brewer.pal(8, "Dark2"), 
                               "#66C2A5", "#FC8D62", "#8DA0CB", "#E78AC3", "#A6D854")) +
  theme(axis.text.y = element_blank())



# Combine the plots
main_text_figure_5 <- (species.mod_orchard.lnRR + species.mod_orchard.lnVR)/ (sex_mod_orchard.lnRR + sex_mod_orchard.lnVR)/ (source_mod_orchard.lnRR + source_mod_orchard.lnVR) + plot_annotation(tag_levels = "A")

print(main_text_figure_5)

# ggsave(here("figures", "main_text_figure_5.jpg"), plot = main_text_figure_5,width = 28, height = 30, units = "cm", dpi = 800)
# ggsave(here("figures", "main_text_figure_5.pdf"), plot = main_text_figure_5, width = 28, height = 30, units = "cm", dpi = 800)
```

# **Model selection and multi-model inference**
## *lnRR model selection and multi-model inference*
```{r}
# save to save time - running this model is time-consuming

# saveRDS(mlmr.dredge.lnRR, file = "mlmr.dredge.lnRR.Rds")
mlmr.dredge.lnRR <- readRDS(here("R.data",file = "mlmr.dredge.lnRR.Rds"))

# save(mlmr.dredge.lnRR, file = "mlmr.dredge.lnRR.Rdata") 
load(here("R.data", "mlmr.dredge.lnRR.Rdata"))

### LOAD DATA RATHER THAN RUN MODEL ###
mlmr.full.lnRR <- rma.mv(yi = lnRR, 
                    V = lnRRVCV, 
                    random = list(~1 | study_id,
                                             ~1 | assay_id,
                                             ~1 | species_latin,
                                             ~1 | pesticide),
                     mods = ~ behaviour_measured_standardised + behavioural_assay_standardised2 + pesticide_chemical_class + control_solvent +
                      species_latin + sex +  source, 
                     method = "ML", 
                    test = "t", 
                    data = data, 
                    sparse = T)

###

r2_ml(mlmr.full.lnRR, data = data)

eval(metafor:::.MuMIn)  # use eval() function to extract helper functions from MuMIn and make them usable in metafor.

mlmr.dredge.lnRR <- dredge(mlmr.full.lnRR, beta = "none", evaluate = TRUE, rank = "AICc", trace=2)

# multimodel inference
summary(mlmr.full.lnRR)

# Select "best" models based on delta <= 2
best_model <- subset(mlmr.dredge.lnRR, delta <= 2, recalc.weights = FALSE)

# Display the results in a scrollable kable table
best_model %>%
  kable("html") %>%
  kable_styling("bordered", position = "left") %>%
  scroll_box(width = "100%", height = "800px")

# Relative importance values for the predictors
weights_lnRR <- sw(mlmr.dredge.lnRR) 

# Convert the named vector into a data frame
weights_lnRR_df <- data.frame(
  predictor = names(weights_lnRR),  
  weight = as.numeric(weights_lnRR), 
  R2_marginal = c(0.07, 0.103, 0.009, 0.092, 0.112, 0.02, 0.051)
)


```


```{r}
# Save to save time - running this model is time-consuming

# saveRDS(mlmr.dredge.lnVR, file = "mlmr.dredge.lnVR.Rds")
mlmr.dredge.lnVR <- readRDS(here("R.data",file = "mlmr.dredge.lnVR.Rds"))

# save(mlmr.dredge.lnVR, file = "mlmr.dredge.lnVR.Rdata") 
load(here("R.data", "mlmr.dredge.lnVR.Rdata"))

### LOAD DATA RATHER THAN RUN MODEL ###
mlmr.full.lnVR <- rma.mv(yi = lnVR, 
                    V = lnVRVCV, 
                    random = list(~1 | study_id,
                                             ~1 | assay_id,
                                             ~1 | species_latin,
                                             ~1 | pesticide),
 mods = ~ behaviour_measured_standardised + behavioural_assay_standardised2 + pesticide_chemical_class + control_solvent +
                      species_latin + sex +  source, 
                     method = "ML", 
                    test = "t", 
                    data = data, 
                    sparse = TRUE)

###

r2_ml(mlmr.full.lnVR, data = data)

eval(metafor:::.MuMIn)  # use eval() to extract helper functions from MuMIn and make them usable in metafor.

mlmr.dredge.lnVR <- dredge(mlmr.full.lnVR, beta = "none", evaluate = TRUE, rank = "AICc", trace = 2)

# Multimodel inference
summary(mlmr.full.lnVR)

# Select "best" models based on delta <= 2
best_model_vr <- subset(mlmr.dredge.lnVR, delta <= 2, recalc.weights = FALSE)

# Display the results in a scrollable kable table
best_model_vr %>%
  kable("html") %>%
  kable_styling("bordered", position = "left") %>%
  scroll_box(width = "100%", height = "800px")

# Relative importance values for the predictors
weights_lnVR <- sw(mlmr.dredge.lnVR)

# Convert the named vector into a data frame
weights_lnVR_df <- data.frame(
  predictor = names(weights_lnVR),  
  weight = as.numeric(weights_lnVR),
  R2_marginal = c(0.02, 0.086, 0.036, 0.068, 0.71, 0.011, 0.040)

)

```

## *Main text Figure 6*
```{r}
# lnRR model selection plot
weights_lnRR_plot <- weights_lnRR_df %>%
  ggplot(aes(x = reorder(predictor, weight), y = weight)) +
  geom_col(width = 0.8, alpha = 0.7) +
  coord_flip() + 
  scale_y_continuous(
    limits = c(0, 1.2),
    breaks = seq(0, 1, by = 0.2),
    expand = c(0, 0)
  ) +
  geom_text(aes(label = scales::percent(weight, accuracy = 1)), 
            size = 6, position = position_stack(vjust = 0.5), 
            color = "white", fontface = "bold") +
  geom_text(aes(y = 1.1,label = paste0("R2 = ", round(R2_marginal, 2))), 
            size = 4, 
            fontface = "italic", 
            color = "red") +
  theme_bw() +
  guides(size = "none") +
  theme(
    legend.position = "none",
    axis.text = element_text(color = "black"),
    axis.title = element_text(face = "bold", color = "black"),
    plot.caption = element_text(size = 10, color = "gray10", face = "italic")
  ) +
  labs(
    y = "Akaike Weights",
    x = "Moderators",
    tag = "A"
  ) +
  scale_x_discrete(labels = c(
    "Source of fish", "Behaviour measured", "Control Solvent",
    "Species", "Sex of fish", "Pesticide chemical class", "Behavioural assay"
  ))


# lnVR model selection plot
weights_lnVR_plot <- weights_lnVR_df %>% 
  ggplot(aes(x = reorder(predictor, weight), y = weight)) +
  geom_col(width = 0.8, alpha = 0.7) +
  coord_flip() + 
  scale_y_continuous(
    limits = c(0, 1.2),  
    breaks = seq(0, 1, by = 0.2),
    expand = c(0, 0)
  ) +
  geom_text(aes(label = scales::percent(weight, accuracy = 1)), 
            size = 6, position = position_stack(vjust = 0.5), 
            color = "white", fontface = "bold") +
  geom_text(aes(y = 1.1, label = paste0("R2 = ", round(R2_marginal, 2))), 
            size = 4, 
            fontface = "italic", 
            color = "red") +
  theme_bw() +
  guides(size = "none") +
  theme(
    legend.position = "none",
    axis.text = element_text(color = "black"),
    axis.title = element_text(face = "bold", color = "black"),
    plot.caption = element_text(size = 10, color = "gray10", face = "italic")
  ) +
  labs(
    caption = "The value in each bar is the relative importance of each moderator based on Akaike weights",
    y = "Akaike Weights",
    x = "Moderators",
    tag = "B"
  ) +
  scale_x_discrete(labels = c(
    "Source of fish", "Behaviour measured", "Control Solvent",
    "Species", "Sex of fish", "Pesticide chemical class", "Behavioural assay"
  ))


main_text_figure_6 <- weights_lnRR_plot/weights_lnVR_plot

print(main_text_figure_6)

# ggsave(here("figures", "main_text_figure_6.pdf"), width = 10, height = 10, units = "cm", scale = 2, dpi = 800)
# ggsave(here("figures", "main_text_figure_6.jpg"), width = 10, height = 10, units = "cm", scale = 2, dpi = 800)
```

# **Publication bias**

## *Figure s20*
A funnel plot illustrating the distribution of study effect sizes in the meta-analysis. The symmetry of the plot suggests the absence of publication bias.
```{r}
# Set up a PNG device with desired dimensions and resolution
# png(filename = "funnel_plot.png", width = 800, height = 600, res = 150)

# Create the funnel plot with gray points
funnel_fig <- funnel(
  lnRR_intercept_only,
  yaxis = "seinv",
  level = c(90, 95),
  shade = c("white", "gray30"),
  back = "#EBEBEB",
  legend = FALSE,
  ylab = "Precision (1/SE)",
  cex.lab = 1.5,
  digits = 1,
  xlim = c(-5, 5),
  pch = 21,         
  col = "gray",  
  bg = "black"     
)

# fig_funnel <- recordPlot()
# invisible(dev.off())

print(funnel_fig)
```

## *Egger's regression*
```{r}
# Model
eggers_regression <- rma.mv(yi = lnRR,
                          V = lnRRVCV,
                          random = list(~1 | study_id,
                                             ~1 | assay_id,
                                             ~1 | species_latin,
                                             ~1 | pesticide),
                          mods = ~sqrt(lnRRv) ,
                          method = "REML",
                          test = "t", 
                          data = data,
                          sparse = T)


# Summary
summary(eggers_regression)

```

### *Figure s21*
A plot showing the moderating effect of standard error on lnRR. The thick black lines show the prediction from the uni-moderator models with their associated 95% confidence interval (darker shaded area) and 95% prediction interval (lighter shaded area).
```{r}
# Prepare data for Egger's regression plot
egger_pred <- predict.rma(eggers_regression)
data <- data %>%
  mutate(
    fit = egger_pred$pred,
    ci.lb = egger_pred$ci.lb,
    ci.ub = egger_pred$ci.ub,
    pr.lb = egger_pred$cr.lb,
    pr.ub = egger_pred$cr.ub
  )

# Create Egger's regression plot
egger_fig <- ggplot(data, aes(x = sqrt(lnRRv), y = lnRR)) +
  geom_ribbon(aes(ymin = pr.lb, ymax = pr.ub), alpha = 0.1, fill = "gray") +
  geom_ribbon(aes(ymin = ci.lb, ymax = ci.ub), alpha = 0.3, fill = "gray") +
  geom_point(size = 2, shape = 21, alpha = 0.7, fill = RColorBrewer::brewer.pal(n = 8, name = "Dark2")[1], col = "gray25", stroke = 1) +
  geom_line(aes(y = fit), size = 1.2) +
  labs(x = "Standard Error", y = "lnRR") +
  theme_bw() +
  geom_hline(yintercept = 0, linetype = 2, colour = "black", alpha = 0.5) +
  theme(
    text = element_text(size = 18, colour = "black", hjust = 0.5),
    legend.text = element_text(size = 14),
    legend.position = c(0, 0),
    legend.justification = c(0, 0),
    legend.background = element_blank(),
    legend.direction = "horizontal",
    legend.title = element_text(size = 15),
    panel.border = element_rect(colour = "black", fill = NA, size = 1.2)
  )

print(egger_fig)
# ggsave(here("figures", "egger_figure.pdf"), width = 10, height = 5, units = "cm", scale = 2, dpi = 800)
# ggsave(here("figures", "egger_figure.jpg"), width = 10, height = 5, units = "cm", scale = 2, dpi = 800)
```

## *Time lag bias*
```{r}
data$pub_year <- str_extract(data$study_id, "\\d{4}")


data$pub_year <- as.numeric(data$pub_year)

# Model
time_lag_bias_model <- rma.mv(yi = lnRR,
                          V = lnRRVCV,
                          random = list(~1 | study_id,
                                             ~1 | assay_id,
                                             ~1 | species_latin,
                                             ~1 | pesticide),
                          mods = ~ scale(pub_year) ,
                          method = "REML",
                          test = "t", 
                          data = data,
                          sparse = T)

# Summary stats
summary(time_lag_bias_model)


lnRR_mod_time_lag_results <- mod_results(time_lag_bias_model, mod = "pub_year", data = data, group = "study_id")  


r2_lnRR_time_lag <- r2_ml(time_lag_bias_model, data)


# Calculate R^2 value
r2_lnRR_time_lag <- r2_ml(time_lag_bias_model, data)

# Set minimum year for x-axis limit
min_year <- min(data$pub_year, na.rm = TRUE)

```

## *Figure s22*
A bubble plot showing the moderating effect of publication year on lnRR. The thick black lines show the prediction from the uni-moderator models with their associated 95% confidence interval (red dotted line) and 95% prediction interval (black dotted line).
```{r}
# Create bubble plot and save as ggplot object
time_lag_bias <- bubble_plot(
  lnRR_mod_time_lag_results,
  mod = "pub_year",
  group = "study_id",
  data = data,
  x = "pub_year",
  y = "lnRR",
  est.lwd = 1,
  legend.pos = "bottom.right",
  k.pos = "bottom.left",
  ci.col = "red",
  pi.col = "black",
  est.col = "black",
  g = TRUE
) +
  annotate(
    geom = "text",
    x = min_year + 2,
    y = max(data$lnRR, na.rm = TRUE) + 0.2,
    label = paste0("italic(R)^{2} ==", round(r2_lnRR_time_lag[1], 5)),
    color = "black",
    parse = TRUE,
    size = 4
  ) +
  geom_point(size = 2, color = "gray25", fill = "blue", shape = 21, alpha = 0.7, stroke = 1) +
  geom_line(color = "blue", size = 1.2) +
  ggtitle("") +
  theme(
    plot.title = element_text(size = 18),
    legend.position = "none",
    axis.title.x = element_text(size = 16),
    axis.title.y = element_text(size = 16),
    axis.text.y = element_text(size = 14),
    axis.text.x = element_text(size = 14)
  ) +
  xlab("Publication Year") +
  scale_x_continuous(limits = c(min_year, max(data$pub_year, na.rm = TRUE)))

print(time_lag_bias)

# ggsave(here("figures", "time_lag_figure.pdf"), width = 10, height = 5, units = "cm", scale = 2, dpi = 800)
# ggsave(here("figures", "time_lag_figure.jpg"), width = 10, height = 5, units = "cm", scale = 2, dpi = 800)
```

# **Sensitivity Analysis** 

## *Leave-one-out analysis*

### *Leave one study out*

#### *Intercept only model (lnRR)*
```{r}
data$leave_study <- as.factor(data$study_id)

### create a list to contain model estimates
leave_study_out_model_lnRR <- list()
VCV_leave_study_out_lnRR <- list()

# Save as .Rds file
# saveRDS(leave_study_out_model_lnRR, file = here("R.data", "leave_study_out_model_lnRR.Rds"))

# Load from .Rds file
leave_study_out_model_lnRR <- readRDS(here("R.data", "leave_study_out_model_lnRR.Rds"))

# Save as .Rdata file
# save(leave_study_out_model_lnVR, file = here("R.data", "leave_study_out_model_lnVR.Rdata"))

# Load from .Rdata file
load(here("R.data", "leave_study_out_model_lnVR.Rdata"))


### repeatedly run the multilevel model, leaving out one study at a time
for(i in 1:length(levels(data$leave_study))){
  ### create the data with one study removed at a time
  data_study_leave <- data %>% filter(leave_study != levels(data$leave_study)[i])
  
  ### create a list of VCV matrices for following model fitting
  VCV_leave_study_out_lnRR[[i]] <- impute_covariance_matrix(vi = data_study_leave$lnRRv, cluster = data_study_leave$study_id, r = 0.5)
  
  ### model fitting
  leave_study_out_model_lnRR[[i]] <- rma.mv(yi = lnRR, V = VCV_leave_study_out_lnRR[[i]], 
                                            random = list(~1 | study_id,
                                                          ~1 | assay_id,
                                                          ~1 | species_latin,
                                                          ~1 | pesticide),
                                            method = "REML", 
                                            test = "t",
                                            data = data_study_leave,
                                            sparse = TRUE)
}

results.leave_study_out_model_lnRR <- as.data.frame(cbind(
  sapply(leave_study_out_model_lnRR, function(x) summary(x)$beta), 
  sapply(leave_study_out_model_lnRR, function(x) summary(x)$se),   
  sapply(leave_study_out_model_lnRR, function(x) summary(x)$zval), 
  sapply(leave_study_out_model_lnRR, function(x) summary(x)$pval), 
  sapply(leave_study_out_model_lnRR, function(x) summary(x)$ci.lb),
  sapply(leave_study_out_model_lnRR, function(x) summary(x)$ci.ub) 
))

colnames(results.leave_study_out_model_lnRR) <- c("Estimate", "SE", "zval", "pval", "ci.lb", "ci.ub")
results.leave_study_out_model_lnRR$study_id <- unique(data$study_id)

# Display the results table
kable(results.leave_study_out_model_lnRR) %>%
  kable_styling("striped", position = "left") %>%
  scroll_box(width = "100%", height = "500px")

leave_one_study_out_lnRR_forest_plot <- ggplot(results.leave_study_out_model_lnRR, 
                      aes(x = fct_reorder(as.factor(study_id), Estimate), 
                          y = Estimate, 
                          ymin = ci.lb, 
                          ymax = ci.ub)) +
  geom_pointrange() +
  geom_hline(yintercept = 0, linetype = "dashed", color = "red") +
  theme_bw() +
  theme(legend.position = "none",
        axis.text = element_text(color = "black"),
        axis.title = element_text(face = "bold", color = "black"),
        plot.caption = element_text(size = 10, color = "gray10", face = "italic"),
        axis.text.y = element_text(size = 8)) +
  labs(caption = "The value in each point is the point estimate excluding one study at a time",
       x = "Study ID",
       y = "lnRR") +
       ylim(-0.6, 0.2) +
  coord_flip()

print(leave_one_study_out_lnRR_forest_plot)

# ggsave(here("figures", "leave_one_study_out_lnRR_forest_plot.pdf"), width = 10, height = 10, units = "cm", scale = 2, dpi = 800)
# ggsave(here("figures", "leave_one_study_out_lnRR_forest_plot.jpg"), width = 10, height = 10, units = "cm", scale = 2, dpi = 800)


results.leave_study_out_model_lnRR %>% 
  summarise(estimate = mean(Estimate), # calculate the mean coefficients across the models generated
            se = mean(SE), 
            zval = mean(zval), 
            pval = mean(pval), 
            ci.lb = mean(ci.lb), 
            ci.ub = mean(ci.ub)) %>% 
  kable() %>% kable_styling("striped", position = "left")

```

#### *Intercept only model (lnVR)*
```{r}
data$leave_study <- as.factor(data$study_id)

### create a list to contain model estimates
leave_study_out_model_lnVR <- list()
VCV_leave_study_out_lnVR <- list()

# save to save time - running this model is time-consuming

# Save as .Rds file
# saveRDS(leave_study_out_model_lnVR, file = here("R.data", "leave_study_out_model_lnVR.Rds"))

# Load from .Rds file
leave_study_out_model_lnVR <- readRDS(here("R.data", "leave_study_out_model_lnVR.Rds"))


# Save as .Rdata file
# save(leave_study_out_model_lnVR, file = here("R.data", "leave_study_out_model_lnVR.Rdata"))

# Load from .Rdata file
load(here("R.data", "leave_study_out_model_lnVR.Rdata"))


### repeatedly run the multilevel model, leaving out one study at a time
for(i in 1:length(levels(data$leave_study))){
  data_study_leave <- data %>% filter(leave_study != levels(data$leave_study)[i])
  
  VCV_leave_study_out_lnVR[[i]] <- impute_covariance_matrix(vi = data_study_leave$lnVRv, cluster = data_study_leave$study_id, r = 0.5)
  
  leave_study_out_model_lnVR[[i]] <- rma.mv(yi = lnVR, V = VCV_leave_study_out_lnVR[[i]], 
                                            random = list(~1 | study_id,
                                                          ~1 | assay_id,
                                                          ~1 | species_latin,
                                                          ~1 | pesticide),
                                            method = "REML", 
                                            test = "t",
                                            data = data_study_leave,
                                            sparse = TRUE)
}

results.leave_study_out_model_lnVR <- as.data.frame(cbind(
  sapply(leave_study_out_model_lnVR, function(x) summary(x)$beta), 
  sapply(leave_study_out_model_lnVR, function(x) summary(x)$se),  
  sapply(leave_study_out_model_lnVR, function(x) summary(x)$zval),
  sapply(leave_study_out_model_lnVR, function(x) summary(x)$pval), 
  sapply(leave_study_out_model_lnVR, function(x) summary(x)$ci.lb),
  sapply(leave_study_out_model_lnVR, function(x) summary(x)$ci.ub) 
))

colnames(results.leave_study_out_model_lnVR) <- c("Estimate", "SE", "zval", "pval", "ci.lb", "ci.ub")
results.leave_study_out_model_lnVR$study_id <- unique(data$study_id)

# Display the results table
kable(results.leave_study_out_model_lnVR) %>%
  kable_styling("striped", position = "left") %>%
  scroll_box(width = "100%", height = "500px")

leave_one_study_out_lnVR_forest_plot <- ggplot(results.leave_study_out_model_lnVR, 
                      aes(x = fct_reorder(as.factor(study_id), Estimate), 
                          y = Estimate, 
                          ymin = ci.lb, 
                          ymax = ci.ub)) +
  geom_pointrange() +
  geom_hline(yintercept = 0, linetype = "dashed", color = "red") +
  theme_bw() +
  theme(legend.position = "none",
        axis.text = element_text(color = "black"),
        axis.title = element_text(face = "bold", color = "black"),
        plot.caption = element_text(size = 10, color = "gray10", face = "italic"),
        axis.text.y = element_text(size = 8)) +
  labs(caption = "The value in each point is the point estimate excluding one study at a time",
       x = "Study ID",
       y = "lnVR") +
  coord_flip()

print(leave_one_study_out_lnVR_forest_plot)

# ggsave(here("figures", "leave_one_study_out_lnVR_forest_plot.pdf"), width = 10, height = 10, units = "cm", scale = 2, dpi = 800)
# ggsave(here("figures", "leave_one_study_out_lnVR_forest_plot.jpg"), width = 10, height = 10, units = "cm", scale = 2, dpi = 800)

results.leave_study_out_model_lnVR %>% 
  summarise(estimate = mean(Estimate), 
            se = mean(SE), 
            zval = mean(zval), 
            pval = mean(pval), 
            ci.lb = mean(ci.lb), 
            ci.ub = mean(ci.ub)) %>% 
  kable() %>% kable_styling("striped", position = "left")

```

### *Leave one species out*

#### *Intercept only model (lnRR)*
```{r}
# Convert species_latin to a factor and create a new column for the leave-one-out procedure
data$leave_species <- as.factor(data$species_latin)

# Initialize lists to contain the model estimates and VCV matrices
leave_species_out_model_lnRR <- list()
VCV_leave_species_out_lnRR <- list()

# save to save time - running this model is time-consuming

# Save as .Rds file
# saveRDS(leave_species_out_model_lnRR, file = here("R.data", "leave_species_out_model_lnRR.Rds"))

# Load from .Rds file
leave_species_out_model_lnRR <- readRDS(here("R.data", "leave_species_out_model_lnRR.Rds"))


# Save as .Rdata file
# save(leave_study_out_model_lnVR, file = here("R.data", "leave_species_out_model_lnRR.Rdata"))

# Load from .Rdata file
load(here("R.data", "leave_species_out_model_lnRR.Rdata"))

# Iteratively run the multilevel model, leaving out one species at a time
for(i in 1:length(levels(data$leave_species))){
  # Create the data with one species removed at a time
  data_species_leave <- data %>% filter(leave_species != levels(data$leave_species)[i])
  
  # Create a VCV matrix for the subset data
  VCV_leave_species_out_lnRR[[i]] <- impute_covariance_matrix(vi = data_species_leave$lnRRv, cluster = data_species_leave$study_id, r = 0.5)
  
    # Model fitting
    leave_species_out_model_lnRR[[i]] <- rma.mv(yi = data_species_leave$lnRR,
                                         V = VCV_leave_species_out_lnRR[[i]],
                                         random = list(~1 | study_id,
                                                       ~1 | assay_id,
                                                       ~1 | species_latin,
                                                       ~1 | pesticide),
                                         method = "REML", 
                                         test = "t",
                                         data = data_species_leave,
                                         sparse = TRUE)
} 


results.leave_species_out_model_lnRR <- as.data.frame(cbind(
  sapply(leave_species_out_model_lnRR, function(x) summary(x)$beta), 
  sapply(leave_species_out_model_lnRR, function(x) summary(x)$se),   
  sapply(leave_species_out_model_lnRR, function(x) summary(x)$zval), 
  sapply(leave_species_out_model_lnRR, function(x) summary(x)$pval), 
  sapply(leave_species_out_model_lnRR, function(x) summary(x)$ci.lb),
  sapply(leave_species_out_model_lnRR, function(x) summary(x)$ci.ub) 
))

colnames(results.leave_species_out_model_lnRR) <- c("Estimate", "SE", "zval", "pval", "ci.lb", "ci.ub") 
results.leave_species_out_model_lnRR$species_latin <- unique(data$species_latin)

# Display the results table
kable(results.leave_species_out_model_lnRR) %>%
  kable_styling("striped", position = "left") %>%
  scroll_box(width = "100%", height = "500px")

leave_one_species_out_lnRR_forest_plot <- ggplot(results.leave_species_out_model_lnRR, 
                      aes(x = fct_reorder(as.factor(species_latin), Estimate), 
                          y = Estimate, 
                          ymin = ci.lb, 
                          ymax = ci.ub)) +
  geom_pointrange() +
  geom_hline(yintercept = 0, linetype = "dashed", color = "red") +
  theme_bw() +
  theme(legend.position = "none",
        axis.text = element_text(color = "black"),
        axis.title = element_text(face = "bold", color = "black"),
        plot.caption = element_text(size = 10, color = "gray10", face = "italic"),
        axis.text.y = element_text(size = 8)) +
  labs(caption = "The value in each point is the estimate excluding one species at a time",
       x = "Species Latin",
       y = "lnRR") +
         ylim(-0.6, 0.2) +
  coord_flip()

print(leave_one_species_out_lnRR_forest_plot)

# ggsave(here("figures", "leave_one_species_out_lnRR_forest_plot.pdf"), width = 10, height = 5, units = "cm", scale = 2, dpi = 800)
# ggsave(here("figures", "leave_one_species_out_lnRR_forest_plot.jpg"), width = 10, height = 5, units = "cm", scale = 2, dpi = 800)

results.leave_species_out_model_lnRR %>% 
  summarise(estimate = mean(Estimate), 
            se = mean(SE), 
            zval = mean(zval), 
            pval = mean(pval), 
            ci.lb = mean(ci.lb), 
            ci.ub = mean(ci.ub)) %>% 
  kable() %>% kable_styling("striped", position = "left")

```

#### *Intercept only model (lnVR)*
```{r}
# Convert species_latin to a factor and create a new column for the leave-one-out procedure
data$leave_species <- as.factor(data$species_latin)

# Initialize lists to contain the model estimates and VCV matrices
leave_species_out_model_lnVR <- list()
VCV_leave_species_out_lnVR <- list()

# Save as .Rds file
# saveRDS(leave_species_out_model_lnRR, file = here("R.data", "leave_species_out_model_lnVR.Rds"))

# Load from .Rds file
leave_species_out_model_lnVR <- readRDS(here("R.data", "leave_species_out_model_lnVR.Rds"))


# Save as .Rdata file
# save(leave_study_out_model_lnVR, file = here("R.data", "leave_species_out_model_lnVR.Rdata"))

# Load from .Rdata file
load(here("R.data", "leave_species_out_model_lnVR.Rdata"))

# Iteratively run the multilevel model, leaving out one species at a time
for(i in 1:length(levels(data$leave_species))){
  # Create the data with one species removed at a time
  data_species_leave <- data %>% filter(leave_species != levels(data$leave_species)[i])
  
  # Create a VCV matrix for the subset data
  VCV_leave_species_out_lnVR[[i]] <- impute_covariance_matrix(vi = data_species_leave$lnVRv, cluster = data_species_leave$study_id, r = 0.5)
  
  # Model fitting
  leave_species_out_model_lnVR[[i]] <- rma.mv(yi = data_species_leave$lnVR,
                                              V = VCV_leave_species_out_lnVR[[i]],
                                              random = list(~1 | study_id,
                                                            ~1 | assay_id,
                                                            ~1 | species_latin,
                                                            ~1 | pesticide),
                                              method = "REML", 
                                              test = "t",
                                              data = data_species_leave,
                                              sparse = TRUE)
} 

results.leave_species_out_model_lnVR <- as.data.frame(cbind(
  sapply(leave_species_out_model_lnVR, function(x) summary(x)$beta), 
  sapply(leave_species_out_model_lnVR, function(x) summary(x)$se),   
  sapply(leave_species_out_model_lnVR, function(x) summary(x)$zval), 
  sapply(leave_species_out_model_lnVR, function(x) summary(x)$pval), 
  sapply(leave_species_out_model_lnVR, function(x) summary(x)$ci.lb),
  sapply(leave_species_out_model_lnVR, function(x) summary(x)$ci.ub)
  ))

colnames(results.leave_species_out_model_lnVR) <- c("Estimate", "SE", "zval", "pval", "ci.lb", "ci.ub") 
results.leave_species_out_model_lnVR$species_latin <- unique(data$species_latin)

# Display the results table
kable(results.leave_species_out_model_lnVR) %>%
  kable_styling("striped", position = "left") %>%
  scroll_box(width = "100%", height = "500px")

leave_one_species_out_lnVR_forest_plot <- ggplot(results.leave_species_out_model_lnVR, 
                      aes(x = fct_reorder(as.factor(species_latin), Estimate), 
                          y = Estimate, 
                          ymin = ci.lb, 
                          ymax = ci.ub)) +
  geom_pointrange() +
  geom_hline(yintercept = 0, linetype = "dashed", color = "red") +
  theme_bw() +
  theme(legend.position = "none",
        axis.text = element_text(color = "black"),
        axis.title = element_text(face = "bold", color = "black"),
        plot.caption = element_text(size = 10, color = "gray10", face = "italic"),
        axis.text.y = element_text(size = 8)) +
  labs(caption = "The value in each point is the estimate excluding one species at a time",
       x = "Species Latin",
       y = "lnVR") +
  coord_flip()

print(leave_one_species_out_lnVR_forest_plot)

# ggsave(here("figures", "leave_one_species_out_lnVR_forest_plot.pdf"), width = 10, height = 5, units = "cm", scale = 2, dpi = 800)
# ggsave(here("figures", "leave_one_species_out_lnVR_forest_plot.jpg"), width = 10, height = 5, units = "cm", scale = 2, dpi = 800)

results.leave_species_out_model_lnVR %>% 
  summarise(estimate = mean(Estimate), 
            se = mean(SE), 
            zval = mean(zval), 
            pval = mean(pval), 
            ci.lb = mean(ci.lb), 
            ci.ub = mean(ci.ub)) %>% 
  kable() %>% kable_styling("striped", position = "left")

```

### *Leave one pesticide out*

#### *Intercept only model (lnRR)*
```{r}
# Convert pesticide_chemical_class to a factor and create a new column for the leave-one-out procedure
data$leave_pesticide <- as.factor(data$pesticide_chemical_class)

# Initialize lists to contain the model estimates and VCV matrices
leave_pesticide_out_model_lnRR <- list()
VCV_leave_pesticide_out_lnRR <- list()

# Save as .Rds file
# saveRDS(leave_species_out_model_lnRR, file = here("R.data", "leave_pesticide_out_model_lnRR.Rds"))

# Load from .Rds file
leave_pesticide_out_model_lnRR <- readRDS(here("R.data", "leave_pesticide_out_model_lnRR.Rds"))


# Save as .Rdata file
# save(leave_pesticide_out_model_lnRR, file = here("R.data", "leave_pesticide_out_model_lnRR.Rdata"))

# Load from .Rdata file
load(here("R.data", "leave_pesticide_out_model_lnRR.Rdata"))

# Iteratively run the multilevel model, leaving out one pesticide chemical class at a time
for(i in 1:length(levels(data$leave_pesticide))){
  data_pesticide_leave <- data %>% filter(leave_pesticide != levels(data$leave_pesticide)[i])
  
  VCV_leave_pesticide_out_lnRR[[i]] <- impute_covariance_matrix(vi = data_pesticide_leave$lnRRv, cluster = data_pesticide_leave$study_id, r = 0.5)
  
  leave_pesticide_out_model_lnRR[[i]] <- rma.mv(yi = data_pesticide_leave$lnRR,
                                                V = VCV_leave_pesticide_out_lnRR[[i]],
                                                random = list(~1 | study_id,
                                                              ~1 | assay_id,
                                                              ~1 | species_latin,
                                                              ~1 | pesticide),
                                                method = "REML", 
                                                test = "t",
                                                data = data_pesticide_leave,
                                                sparse = TRUE)
} 

results.leave_pesticide_out_model_lnRR <- as.data.frame(cbind(
  sapply(leave_pesticide_out_model_lnRR, function(x) summary(x)$beta), 
  sapply(leave_pesticide_out_model_lnRR, function(x) summary(x)$se),   
  sapply(leave_pesticide_out_model_lnRR, function(x) summary(x)$zval), 
  sapply(leave_pesticide_out_model_lnRR, function(x) summary(x)$pval), 
  sapply(leave_pesticide_out_model_lnRR, function(x) summary(x)$ci.lb),
  sapply(leave_pesticide_out_model_lnRR, function(x) summary(x)$ci.ub) 
))

colnames(results.leave_pesticide_out_model_lnRR) <- c("Estimate", "SE", "zval", "pval", "ci.lb", "ci.ub") 
results.leave_pesticide_out_model_lnRR$pesticide_chemical_class <- unique(data$pesticide_chemical_class)

# Display the results table
kable(results.leave_pesticide_out_model_lnRR) %>%
  kable_styling("striped", position = "left") %>%
  scroll_box(width = "100%", height = "500px")

leave_one_pesticide_out_lnRR_forest_plot <- ggplot(results.leave_pesticide_out_model_lnRR, 
                      aes(x = fct_reorder(as.factor(pesticide_chemical_class), Estimate), 
                          y = Estimate, 
                          ymin = ci.lb, 
                          ymax = ci.ub)) +
  geom_pointrange() +
  geom_hline(yintercept = 0, linetype = "dashed", color = "red") +
  theme_bw() +
  theme(legend.position = "none",
        axis.text = element_text(color = "black"),
        axis.title = element_text(face = "bold", color = "black"),
        plot.caption = element_text(size = 10, color = "gray10", face = "italic"),
        axis.text.y = element_text(size = 8)) +
  labs(caption = "The value in each point is the estimate excluding one pesticide at a time",
       x = "Pesticide Chemical Class",
       y = "lnRR") +
         ylim(-0.7, 0.2) +
  coord_flip()

print(leave_one_pesticide_out_lnRR_forest_plot)

# ggsave(here("figures", "leave_one_pesticide_out_lnRR_forest_plot.pdf"), width = 10, height = 5, units = "cm", scale = 2, dpi = 800)
# ggsave(here("figures", "leave_one_pesticide_out_lnRR_forest_plot.jpg"), width = 10, height = 5, units = "cm", scale = 2, dpi = 800)

results.leave_pesticide_out_model_lnRR %>% 
  summarise(estimate = mean(Estimate), 
            se = mean(SE), 
            zval = mean(zval), 
            pval = mean(pval), 
            ci.lb = mean(ci.lb), 
            ci.ub = mean(ci.ub)) %>% 
  kable() %>% kable_styling("striped", position = "left")

```

#### *Intercept only model (lnVR)*
```{r}
# Convert pesticide_chemical_class to a factor and create a new column for the leave-one-out procedure
data$leave_pesticide <- as.factor(data$pesticide_chemical_class)

# Initialize lists to contain the model estimates and VCV matrices
leave_pesticide_out_model_lnVR <- list()
VCV_leave_pesticide_out_lnVR <- list()

# Iteratively run the multilevel model, leaving out one pesticide chemical class at a time
for(i in 1:length(levels(data$leave_pesticide))){
  # Create the data with one pesticide removed at a time
  data_pesticide_leave <- data %>% filter(leave_pesticide != levels(data$leave_pesticide)[i])
  
  # Create a VCV matrix for the subset data
  VCV_leave_pesticide_out_lnVR[[i]] <- impute_covariance_matrix(vi = data_pesticide_leave$lnVRv, cluster = data_pesticide_leave$study_id, r = 0.5)
  
  # Model fitting
  leave_pesticide_out_model_lnVR[[i]] <- rma.mv(yi = data_pesticide_leave$lnVR,
                                                V = VCV_leave_pesticide_out_lnVR[[i]],
                                                random = list(~1 | study_id,
                                                              ~1 | assay_id,
                                                              ~1 | species_latin,
                                                              ~1 | pesticide),
                                                method = "REML", 
                                                test = "t",
                                                data = data_pesticide_leave,
                                                sparse = TRUE)
} 

results.leave_pesticide_out_model_lnVR <- as.data.frame(cbind(
  sapply(leave_pesticide_out_model_lnVR, function(x) summary(x)$beta), # extract the beta coefficient from all models
  sapply(leave_pesticide_out_model_lnVR, function(x) summary(x)$se),   # extract the standard error from all models
  sapply(leave_pesticide_out_model_lnVR, function(x) summary(x)$zval), # extract the z value from all models
  sapply(leave_pesticide_out_model_lnVR, function(x) summary(x)$pval), # extract the p value from all models
  sapply(leave_pesticide_out_model_lnVR, function(x) summary(x)$ci.lb),# extract the lower confidence interval for all models
  sapply(leave_pesticide_out_model_lnVR, function(x) summary(x)$ci.ub) # extract the upper confidence interval for all models
))

colnames(results.leave_pesticide_out_model_lnVR) <- c("Estimate", "SE", "zval", "pval", "ci.lb", "ci.ub") # change column names
results.leave_pesticide_out_model_lnVR$pesticide_chemical_class <- unique(data$pesticide_chemical_class)

# Display the results table
kable(results.leave_pesticide_out_model_lnVR) %>%
  kable_styling("striped", position = "left") %>%
  scroll_box(width = "100%", height = "500px")

leave_one_pesticide_out_lnVR_forest_plot <- ggplot(results.leave_pesticide_out_model_lnVR, 
                      aes(x = fct_reorder(as.factor(pesticide_chemical_class), Estimate), 
                          y = Estimate, 
                          ymin = ci.lb, 
                          ymax = ci.ub)) +
  geom_pointrange() +
  geom_hline(yintercept = 0, linetype = "dashed", color = "red") +
  theme_bw() +
  theme(legend.position = "none",
        axis.text = element_text(color = "black"),
        axis.title = element_text(face = "bold", color = "black"),
        plot.caption = element_text(size = 10, color = "gray10", face = "italic"),
        axis.text.y = element_text(size = 8)) +
  labs(caption = "The value in each point is the estimate excluding one pesticide at a time",
       x = "Pesticide Chemical Class",
       y = "lnVR") +
  coord_flip()

print(leave_one_pesticide_out_lnVR_forest_plot)

# ggsave(here("figures", "leave_one_pesticide_out_lnVR_forest_plot.pdf"), width = 10, height = 5, units = "cm", scale = 2, dpi = 800)
# ggsave(here("figures", "leave_one_pesticide_out_lnVR_forest_plot.jpg"), width = 10, height = 5, units = "cm", scale = 2, dpi = 800)
 
 results.leave_pesticide_out_model_lnVR %>% 
  summarise(estimate = mean(Estimate), 
            se = mean(SE), 
            zval = mean(zval), 
            pval = mean(pval), 
            ci.lb = mean(ci.lb), 
            ci.ub = mean(ci.ub)) %>% 
  kable() %>% kable_styling("striped", position = "left")
 
```

## *Alternative variance-covariance matrices*

### Intercept only model (lnRR)
```{r}
# Model
lnRR_intercept_only2 <- rma.mv(yi = lnRR,
                              V = lnRRVCV2,
                              random = list(~1 | study_id,
                                            ~1 | assay_id,
                                            ~1 | species_latin,
                                            ~1 | pesticide),
                              method = "REML",
                              test = "t", 
                              data = data,
                              sparse = T)

# Summary statistics 
summary(lnRR_intercept_only2)

mod_results(lnRR_intercept_only2, mod = "1", data = data, group = "study_id")  
i2_ml(lnRR_intercept_only2)
```

### *Intercept only model (lnVR)*
```{r}
# Model
lnVR_intercept_only2 <- rma.mv(yi = lnVR,
                               V = lnVRVCV2,
                               random = list(~1 | study_id,
                                            ~1 | assay_id,
                                            ~1 | species_latin,
                                            ~1 | pesticide),
                              method = "REML",
                              test = "t", 
                              data = data,
                              sparse = TRUE)
  

# Summary results
summary(lnVR_intercept_only2)

mod_results(lnVR_intercept_only2, mod = "1", data = data, group = "study_id")  # For prediction intervals

i2_ml(lnVR_intercept_only2)

```

### *Figure s19*
Impacts of pesticide exposure on fish conspecific interactions using alternative more conservative variance covariance matrix
```{r}
lnRR_intercept_only2_orchard <- orchaRd::orchard_plot(lnRR_intercept_only2,
             group = "study_id",
             xlab = "lnRR",
             data = data,
             g = TRUE,
             k.pos = "right",
             colour = FALSE,
             fill = TRUE,  
             trunk.size = 3., 
             legend.pos = "none",
             branch.size = 1.5,
             twig.size = 1) +
    scale_fill_manual(values = RColorBrewer::brewer.pal(8, "Dark2")[3]) +
  scale_x_discrete(labels = c("Model estimates"))

lnVR_intercept_only2_orchard <- orchaRd::orchard_plot(lnVR_intercept_only2,
             group = "study_id", 
             xlab = "lnVR",
             data = data,
             g = TRUE,
             k.pos = "right",
             colour = FALSE,
             fill = TRUE,  
             trunk.size = 3., 
             legend.pos = "none",
             branch.size = 1.5,
             twig.size = 1) +
    scale_fill_manual(values = RColorBrewer::brewer.pal(8, "Dark2")[4]) +
  scale_x_discrete(labels = c("Model estimates"))

# Combine the two plots 
alternative_VCV_figure <- lnRR_intercept_only2_orchard + lnVR_intercept_only2_orchard + plot_annotation(tag_levels = "A")


print(alternative_VCV_figure)
# ggsave(here("figures", "alternative_VCV_figure.jpg"), width = 24, height = 10, units = "cm", dpi = 800)
# ggsave(here("figures", "alternative_VCV_figure.pdf"), width = 24, height = 10, units = "cm", dpi = 800)
```

## *Leave studies with imputed errors out*

### Intercept only model (lnRR) 
```{r}
data_no_imputed <- data %>%  filter(data$control_imputed == "No")

lnRRVCV_no_imputed <- metafor::vcalc(vi = lnRRv, cluster = exp_id, obs = assay_id, data = data_no_imputed, rho = 0.5)

# Model
lnRR_intercept_only_no_imputed <- rma.mv(yi = lnRR,
                              V = lnRRVCV_no_imputed,
                              random = list(~1 | study_id,
                                            ~1 | assay_id,
                                            ~1 | species_latin,
                                            ~1 | pesticide),
                              method = "REML",
                              test = "t", 
                              data = data_no_imputed,
                              sparse = T)

# Summary statistics 
summary(lnRR_intercept_only_no_imputed)

```

### Intercept only model (lnVR) 
```{r}
# Calculate the variance-covariance matrix for lnVR
lnVRVCV_no_imputed <- metafor::vcalc(vi = lnVRv, cluster = exp_id, obs = assay_id, data = data_no_imputed, rho = 0.5)

# Model
lnVR_intercept_only_no_imputed <- rma.mv(yi = lnVR,
                              V = lnVRVCV_no_imputed,
                              random = list(~1 | study_id,
                                            ~1 | assay_id,
                                            ~1 | species_latin,
                                            ~1 | pesticide),
                              method = "REML",
                              test = "t", 
                              data = data_no_imputed,
                              sparse = TRUE)

# Summary statistics 
summary(lnVR_intercept_only_no_imputed)

```

```{r}
# Plot without imputed data - lnRR
lnRR_intercept_only_no_imputed_orchard <- orchaRd::orchard_plot(
  lnRR_intercept_only_no_imputed,
  group = "study_id",
  xlab = "lnRR",
  data = data_no_imputed,
  g = TRUE,
  k.pos = "right",
  colour = FALSE,
  fill = TRUE,
  trunk.size = 3,
  legend.pos = "none",
  branch.size = 1.5,
  twig.size = 1
) +
  scale_fill_manual(values = RColorBrewer::brewer.pal(8, "Dark2")[5]) +
  scale_x_discrete(labels = c("Model estimates"))

# Plot without imputed data - lnVR
lnVR_intercept_only_no_imputed_orchard <- orchaRd::orchard_plot(
  lnVR_intercept_only_no_imputed,
  group = "study_id",
  xlab = "lnVR",
  data = data_no_imputed,
  g = TRUE,
  k.pos = "right",
  colour = FALSE,
  fill = TRUE,
  trunk.size = 3,
  legend.pos = "none",
  branch.size = 1.5,
  twig.size = 1
) +
  scale_fill_manual(values = RColorBrewer::brewer.pal(8, "Dark2")[6]) +
  scale_x_discrete(labels = c("Model estimates"))


# Combine the two plots 
no_imputed_figure <- lnRR_intercept_only_no_imputed_orchard + lnVR_intercept_only_no_imputed_orchard + plot_annotation(tag_levels = "A")


print(no_imputed_figure)

# Save the plots without imputed data if needed
# ggsave(here("figures","no_imputed_orchard.jpg"), width = 24, height = 10, units = "cm", dpi = 800)
# ggsave(here("figures","no_imputed_orchard.pdf"), width = 24, height = 10, units = "cm", dpi = 800)
```

```{r}
sessionInfo()
```

